Artificial Intelligence (AI)

Top AI-Enabled Code Editors (As of January 2025)Tool Name Developer Free/Paid User Rating (Out of 5) Release Year Core Features Best For GitHub Copilot GitHub/OpenAI Paid ($10/month) 4.8 2021 Real-time code suggestions, autocompletion, code blocks Accelerating coding and reducing errors Tabnine Tabnine Inc. Free (limited), Paid ($12/month) 4.7 2020 Context-aware completions, supports 70+ languages Improving productivity and speed Amazon Q Developer Amazon Web Services Free (limited), Paid (AWS-integrated) 4.6 2022 Cloud-native coding, AWS service integration Cloud and serverless application coding Codeium Codeium Free 4.5 2023 Autocompletion, code generation, AI chat Free…

OpenAI has announced a substantial new funding round, raising $40 billion at a $300 billion post-money valuation. The financing, revealed on March 31, 2025, is backed by SoftBank Group and will be used to advance OpenAI’s research towards artificial general intelligence (AGI), expand compute capacity, and enhance its AI product ecosystem. Scaling Towards AGI The […] The article OpenAI Secures $40 Billion Funding Round Led by SoftBank to Advance AGI Research was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

In today’s dynamic business landscape, manufacturers are facing unprecedented pressure. The relentless pace of e-commerce combined with a constant threat of supply chain disruptions, creates a perfect storm. To overcome this complexity, leading manufacturers are leveraging the power of AI and integrated data solutions to not only survive, but thrive. This week, at Hannover Messe, Google Cloud is announcing the latest release of its signature solution, Manufacturing Data Engine (MDE), to help manufacturers unlock the full potential of their operational data and drive AI transformation on-and-off the factory floor faster. We believe it will play a critical role in helping …

Breaking down the data silos between IT (business data) and OT (industrial data) is critical for manufacturers seeking to harness the power of AI for competitive advantage. This week, at Hannover Messe, Google Cloud is excited to announce the latest release of its signature solution, Manufacturing Data Engine, to help manufacturers unlock the full potential of their operational data and drive AI transformation on-and-off the factory floor faster. In 2024, we delivered a number of enhancements to MDE to strengthen the integration between OT and IT data, and with initial technical foundation extensions for MDE to integrate with Cortex Framework. At the same time, the adopti…

According to Gartner®, “Gartner clients now report that 90% or more of their time is spent preparing data (as high as 94% in complex industries) for advanced analytics, data science and data engineering.”1. Last year, we introduced BigQuery data preparation, which helps data analyst teams wrangle data with help from Gemini in BigQuery. With it, the tedious task of data preparation becomes a breeze as Gemini analyzes your data and schema, and offers context-aware suggestions for cleaning, transforming, and enriching your data. BigQuery's approach to data preparation can also help you automate building data pipelines, allowing users with varying technical backgrounds to eff…

Startups focused on AI are influencing so many areas of our lives. They’re defining the future of education, advancing healthcare innovation, reinventing collaboration and more. To help AI-focused startups scale quickly and build responsibly, we’re hosting the Google for Startups Cloud AI Accelerator. This program builds on the success of our recent AI First accelerators and targets startups building AI solutions based in the U.S. and Canada. This is the first of several AI-focused programs we'll offer throughout the year across the US, Canada, Europe, India and Brazil... View the full article

Enterprise computing is undergoing a radical transformation. As businesses strive to remain competitive in an AI-driven world, a new paradigm is emerging: agentic AI and multi-agent systems. These intelligent, autonomous software agents are not just augmenting workflows—they’re redefining them. In the next five years, multi-agent architectures will become a foundational element of enterprise infrastructure, impacting […] The article Future of Enterprise Computing: How Agentic AI and Multi-Agent Workflows Are Transforming Business Processes was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

A new report published today by Implement Consulting Group, entitled “The AI opportunity for eGovernment in the EU”, finds that adopting generative AI can unlock a EUR 100 billion opportunity for EU public administrations through enhanced productivity and create significant value for EU citizens and businesses. AI is not merely a technological advancement to consider, but a fundamental "imperative" for the evolution of eGovernment across the EU, with productivity savings being a key enabler... View the full article

In The Vibe Coding Handbook: How To Engineer Production-Grade Software With GenAI, Chat, Agents, and Beyond, Steve Yegge and I describe a spectrum of coding modalities with GenAI. On one extreme is “pairing,” where you are working with the AI to achieve a goal. It really is like pair programming with another person, if that person was like a “summer intern who believes in conspiracy theories” (as coined by Simon Willison) and the world’s best software architect. On the other extreme is “delegating” (which I think many will associate with “agentic coding”), where you ask the AI to do something, and it does so without any human interaction... The post Vibe Coding: Pairing…

What do you do when you have a critical book deadline and need to use a tool you wrote that hasn’t worked in two years? It doesn’t deploy anymore because of some obscure error at startup in Google Cloud Run. And you haven’t touched the code in two years and don’t remember how any of this works. Oh, and by the way, the entire data pipeline that made it so useful stopped working two years ago when Twitter limited access to their API and Zapier deprecated their integration... The post Resurrecting My Trello Management Tool and Data Pipeline with Claude Code using Vibe Coding appeared first on IT Revolution. View the full article

Generative AI is evolving rapidly, and developers are increasingly looking for efficient ways to manage multiple LLMs (Large Language Models) using a centralized proxy. LiteLLM is a powerful solution that simplifies multi-LLM management by acting as a proxy server. However, setting it up on Microsoft Azure can be challenging due to lack of clear documentation—until […] The article Deploy LiteLLM on Microsoft Azure with AZD, Azure Container Apps and PostgreSQL was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

Cursor AI refuses to generate codes larger than 800 lines of code. View the full article

Generative AI systems using Large Language Models (LLMs) like GPT-4o process natural language input through a series of computational steps: tokenization, numerical representation, neural processing, and text generation. While these models have achieved impressive performance in understanding and generating text, they sometimes struggle with seemingly simple tasks, such as counting letters in a word. This […] The article How Generative AI Uses Text Tokens to Generate a Response was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

Digital Technology is evolving faster than ever, and the way we interact with it is transforming dramatically. With the rise of AI-driven development, no-code/low-code platforms,...Read More The post Is Vibe Coding The Future of Software Development appeared first on ISHIR | Software Development India. The post Is Vibe Coding The Future of Software Development appeared first on Security Boulevard. View the full article

Artificial Intelligence (AI) is evolving at a rapid pace, with machine learning techniques becoming more sophisticated and efficient. One of the biggest challenges in traditional AI training is the heavy reliance on labeled datasets, which require extensive human effort and resources. However, Self-Supervised Learning (SSL) is revolutionizing the field by enabling AI models to learn […] The article Self-Supervised Learning (SSL) in AI Systems: Autonomous Machine Intelligence was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

Want to understand what Generative AI is and its impact on our future?View the full article

This post explores the evolving AI regulatory landscape and essential aspects of the EU Act law, crucial for understanding its impact.View the full article

Get ready for an exciting journey into how AI is changing the tech world!View the full article

Master AI with these free courses from Harvard, Google, AWS, and more.View the full article

Want to build cool AI applications? Start learning AI today with these free courses from NVIDIA.View the full article

Want to learn more about Artificial Intelligence? These five courses from Stanford will help you kickstart that journey.View the full article

Knowledge Bases for Amazon Bedrock securely connects foundation models (FMs) to internal company data sources for Retrieval Augmented Generation (RAG), to deliver more relevant and accurate responses. Today, we are announcing vector storage support for MongoDB Atlas in Knowledge Bases (KB) for Amazon Bedrock. View the full article

Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.View the full article

Today, Amazon Transcribe announces the general availability of generative AI-powered call summarization available through the Amazon Transcribe Call Analytics API. Generative call summarization delivers a concise summary of contact center interactions, capturing key components such as why the customer called, how the issue was addressed, and what follow-up actions were identified. View the full article

Amazon Titan Text Embeddings V2, a new embeddings model in the Amazon Titan family of models, is now generally available in Amazon Bedrock. Using Titan Text Embeddings V2, customers can perform various natural language processing (NLP) tasks by representing text data as numerical vectors, known as embeddings. These embeddings capture the semantic and contextual relationships between words, phrases, or documents in a high-dimensional vector space. This model is optimized for Retrieval-Augmented Generations (RAG) use cases and is also well suited for a variety of other tasks such as information retrieval, question and answer chatbots, classification, and personalized recomm…

The Amazon Titan family of models, available exclusively in Amazon Bedrock, is built on top of 25 years of Amazon expertise in artificial intelligence (AI) and machine learning (ML) advancements. Amazon Titan foundation models (FMs) offer a comprehensive suite of pre-trained image, multimodal, and text models accessible through a fully managed API. Trained on extensive datasets, Amazon Titan models are powerful and versatile, designed for a range of applications while adhering to responsible AI practices. The latest addition to the Amazon Titan family is Amazon Titan Text Embeddings V2, the second-generation text embeddings model from Amazon now available within Amazon …

Today, Amazon Q launched a subscription management service enabling customers to manage subscriptions for Amazon Q plans like Amazon Q Business Pro, Amazon Q Business Lite, and Amazon Q Developer Pro. The new subscription management service offers administrators access to dashboards that provide subscription details, including the specific users and groups assigned to each subscription. This centralized visibility enables tracking Amazon Q subscriptions across the entire organization. View the full article

Today, AWS announces the general availability of Amazon Q Business and the preview of Amazon Q Apps, a new Amazon Q Business capability. Amazon Q Business revolutionizes the way that employees interact with organizational knowledge and enterprise systems. It helps users get comprehensive answers to complex questions and take actions in a unified, intuitive web-based chat experience—all using an enterprise’s existing content, data, and systems. Amazon Q Business connects seamlessly to over 40 popular enterprise systems, including Amazon Simple Storage Service (Amazon S3), Microsoft 365, and Salesforce. It ensures that users access content securely with their existing crede…

Today, AWS announces the general availability of Amazon Q Developer, a generative AI–powered assistant that reimagines your experience across the entire software development lifecycle (SDLC). Amazon Q Developer includes unique, game-changing capabilities that allow developers to offload time-consuming, manual tasks inside or outside of AWS. Amazon Q Developer capabilities include Q&A and diagnosing common errors in the AWS Management Console, Amazon Q data integration which enables you to build data integration pipelines using natural language, conversational coding and inline code generation in the IDE, and Amazon Q Developer Agent for software development in the IDE…

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer, enables you to build data integration pipelines using natural language. This reduces the time and effort you need to learn, build, and run data integration jobs using AWS Glue data integration engines. Tell Amazon Q Developer what you need in English, it will return a complete job for you. For example, you can ask Amazon Q Developer to generate a complete extract, transform, and load (ETL) script or code snippet for individual ETL operations. You can troubleshoot your jobs by asking Amazo…

Today, AWS announces general availability of Amazon Q data integration, a new generative AI–powered capability of Amazon Q Developer that enables you to build data integration pipelines using natural language. Amazon Q Developer is the AWS expert to assist you with all of your development tasks. Amazon Q data integration is a new chat experience specifically for AWS Glue, design for authoring and troubleshooting data integration pipelines. View the full article

Amazon Q in QuickSight is now generally available. The Generative BI capabilities of Amazon Q in QuickSight help business analysts and business users easily build and consume insights using natural language. View the full article

At AWS re:Invent 2023, we previewed Amazon Q Business, a generative artificial intelligence (generative AI)–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. With Amazon Q Business, you can deploy a secure, private, generative AI assistant that empowers your organization’s users to be more creative, data-driven, efficient, prepared, and productive. During the preview, we heard lots of customer feedback and used that feedback to prioritize our enhancements to the service. Today, we are announcing the general availability of Amazon Q Business with many n…

When Amazon Web Services (AWS) launched Amazon Q Developer as a preview last year, it changed my experience of interacting with AWS services and, at the same time, maximizing the potential of AWS services on a daily basis. Trained on 17 years of AWS knowledge and experience, this generative artificial intelligence (generative AI)–powered assistant helps me build applications on AWS, research best practices, perform troubleshooting, and resolve errors. Today, we are announcing the general availability of Amazon Q Developer. In this announcement, we have a few updates, including new capabilities. Let’s get started. New: Amazon Q Developer has knowledge of your AWS accou…

Many businesses rush to adopt AI but fail due to poor strategy. This post serves as your go-to playbook for success.View the full article

You can now access Cohere’s newest state-of-the-art enterprise foundation model family, Command R+ and Command R, in Amazon Bedrock. These generative AI models are highly scalable, optimized for long context tasks like advanced retrieval-augmented generation (RAG) with citations to mitigate hallucinations, multi-step tool use to automate complex business tasks, and are multilingual in 10 languages to support global business operations. View the full article

In November 2023, we made two new Cohere models available in Amazon Bedrock (Cohere Command Light and Cohere Embed English). Today, we’re announcing the addition of two more Cohere models in Amazon Bedrock; Cohere Command R and Command R+. Organizations need generative artificial intelligence (generative AI) models to securely interact with information stored in their enterprise data sources. Both Command R and Command R+ are powerful, scalable large language models (LLMs), purpose-built for real-world, enterprise-grade workloads. These models are multilingual and are focused on balancing high efficiency with strong accuracy to excel at capabilities such as Retrieval-Au…

Introduction APIs are the key to implementing microservices that are the building blocks of modern distributed applications. Launching a new API involves defining the behavior, implementing the business logic, and configuring the infrastructure to enforce the behavior and expose the business logic. Using OpenAPI, the AWS Cloud Development Kit (AWS CDK), and AWS Solutions Constructs to build your API lets you focus on each of these tasks in isolation, using a technology specific to each for efficiency and clarity. The OpenAPI specification is a declarative language that allows you to fully define a REST API in a document completely decoupled from the implementation. The…

Find out all about Google Cloud's latest learning path, and learn how to use the Gemini language model in the Google Cloud.View the full article

Generative artificial intelligence (generative AI) is a type of AI used to generate content, including conversations, images, videos, and music. Generative AI can be used directly to build customer-facing features (a chatbot or an image generator), or it can serve as an underlying component in a more complex system. For example, it can generate embeddings (or compressed representations) or any other artifact necessary to improve downstream machine learning (ML) models or back-end services. With the advent of generative AI, it’s fundamental to understand what it is, how it works under the hood, and which options are available for putting it into production. In some cases…

Content creation can be tedious work and takes much of our time. With Generative AI, we can improve the quality and efficiency of our work.View the full article

Today, we're excited to announce the availability of a new capability of Amazon Q to analyze issues for complexity and propose splitting the work into separate tasks. View the full article

You can now access Meta’s Llama 3 models, Llama 3 8B and Llama 3 70B, in Amazon Bedrock. Meta Llama 3 is designed for you to build, experiment, and responsibly scale your generative artificial intelligence applications. You can now use these two new Llama 3 models in Amazon Bedrock enabling you to easily experiment with and evaluate even more top foundation models for your use case. View the full article

Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined algorithms for metrics such as accuracy, robustness, and toxicity. Additionally, for those metrics or subjective and custom metrics, such as friendliness, style, and alignment to brand voice, you can set up a human evaluation workflow with a few clicks. Human evaluation workflows can leverage your own employees or an AWS-managed team as reviewers. Model evaluation provides built-in curated datasets or you can bring your own da…

Amazon Titan Image Generator enables content creators with rapid ideation and iteration resulting in high efficiency image generation. The Amazon Titan Image Generator model is now generally available in Amazon Bedrock, helping you easily build and scale generative AI applications with new image generation and image editing capabilities. View the full article

Knowledge Bases for Amazon Bedrock allows you to connect foundation models (FMs) to internal company data sources to deliver more relevant, context-specific, and accurate responses. Knowledge Bases (KB) now provides a real-time, zero-setup, and low-cost method to securely chat with single documents. View the full article

Knowledge Bases for Amazon Bedrock is a fully managed Retrieval-Augmented Generation (RAG) capability that allows you to connect foundation models (FMs) to internal company data sources to deliver more relevant and accurate responses. Knowledge Bases now supports adding multiple data sources, across accounts. View the full article

Amazon Titan Image Generator's new watermark detection feature is now generally available in Amazon Bedrock. All Amazon Titan-generated images contain an invisible watermark, by default. The watermark detection mechanism allows you to identify images generated by Amazon Titan Image Generator, a foundation model that allows users to create realistic, studio-quality images in large volumes and at low cost, using natural language prompts. View the full article

We are excited to announce the preview of Custom Model Import for Amazon Bedrock. Now you can import customized models into Amazon Bedrock to accelerate your generative AI application development. This new feature allows you to leverage your prior model customization investments within Amazon Bedrock and consume them in the same fully-managed manner as Bedrock’s existing models. For supported architectures such as Llama, Mistral, or Flan T5, you can now import models customized anywhere and access them on-demand. View the full article

Agents for Amazon Bedrock enable developers to create generative AI-based applications that can complete complex tasks for a wide range of use cases and deliver answers based on company knowledge sources. In order to complete complex tasks, with high accuracy, reasoning capabilities of the underlying foundational model (FM) play a critical role. View the full article

Today, we are announcing the general availability of Guardrails for Amazon Bedrock that enables customers to implement safeguards across large language models (LLMs) based on their use cases and responsible AI policies. Customers can create multiple guardrails tailored to different use cases and apply them on multiple LLMs, providing a consistent user experience and standardizing safety controls across generative AI applications. View the full article

Today, we are announcing the general availability of Meta’s Llama 3 models in Amazon Bedrock. Meta Llama 3 is designed for you to build, experiment, and responsibly scale your generative artificial intelligence (AI) applications. New Llama 3 models are the most capable to support a broad range of use cases with improvements in reasoning, code generation, and instruction. According to Meta’s Llama 3 announcement, the Llama 3 model family is a collection of pre-trained and instruction-tuned large language models (LLMs) in 8B and 70B parameter sizes. These models have been trained on over 15 trillion tokens of data—a training dataset seven times larger than that used for L…

Today, I am happy to announce the general availability of Guardrails for Amazon Bedrock, first released in preview at re:Invent 2023. With Guardrails for Amazon Bedrock, you can implement safeguards in your generative artificial intelligence (generative AI) applications that are customized to your use cases and responsible AI policies. You can create multiple guardrails tailored to different use cases and apply them across multiple foundation models (FMs), improving end-user experiences and standardizing safety controls across generative AI applications. You can use Guardrails for Amazon Bedrock with all large language models (LLMs) in Amazon Bedrock, including fine-tuned …

With Agents for Amazon Bedrock, applications can use generative artificial intelligence (generative AI) to run tasks across multiple systems and data sources. Starting today, these new capabilities streamline the creation and management of agents: Quick agent creation – You can now quickly create an agent and optionally add instructions and action groups later, providing flexibility and agility for your development process. Agent builder – All agent configurations can be operated in the new agent builder section of the console. Simplified configuration – Action groups can use a simplified schema that just lists functions and parameters without having to provide an A…

The Amazon Bedrock model evaluation capability that we previewed at AWS re:Invent 2023 is now generally available. This new capability helps you to incorporate Generative AI into your application by giving you the power to select the foundation model that gives you the best results for your particular use case. As my colleague Antje explained in her post (Evaluate, compare, and select the best foundation models for your use case in Amazon Bedrock): Model evaluations are critical at all stages of development. As a developer, you now have evaluation tools available for building generative artificial intelligence (AI) applications. You can start by experimenting with dif…

With Amazon Bedrock, you have access to a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies that make it easier to build and scale generative AI applications. Some of these models provide publicly available weights that can be fine-tuned and customized for specific use cases. However, deploying customized FMs in a secure and scalable way is not an easy task. Starting today, Amazon Bedrock adds in preview the capability to import custom weights for supported model architectures (such as Meta Llama 2, Llama 3, and Mistral) and serve the custom model using On-Demand mode. You can import models with weights in Hugging Face…

During AWS re:Invent 2023, we announced the preview of Amazon Titan Image Generator, a generative artificial intelligence (generative AI) foundation model (FM) that you can use to quickly create and refine realistic, studio-quality images using English natural language prompts. I’m happy to share that Amazon Titan Image Generator is now generally available in Amazon Bedrock, giving you an easy way to build and scale generative AI applications with new image generation and image editing capabilities, including instant customization of images. In my previous post, I also mentioned that all images generated by Titan Image Generator contain an invisible watermark, by defa…

The secret recipe to excel in your career in AI.View the full article

Anthropic’s Claude 3 Opus foundation model, the most advanced and intelligent model in the Claude 3 Family, is now available on Amazon Bedrock. The Claude 3 family of models (Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku) is the next generation of state-of-the-art models from Anthropic. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Anthropic, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications. View the full article

We are living in the generative artificial intelligence (AI) era; a time of rapid innovation. When Anthropic announced its Claude 3 foundation models (FMs) on March 4, we made Claude 3 Sonnet, a model balanced between skills and speed, available on Amazon Bedrock the same day. On March 13, we launched the Claude 3 Haiku model on Amazon Bedrock, the fastest and most compact member of the Claude 3 family for near-instant responsiveness. Today, we are announcing the availability of Anthropic’s Claude 3 Opus on Amazon Bedrock, the most intelligent Claude 3 model, with best-in-market performance on highly complex tasks. It can navigate open-ended prompts and sight-unseen sce…

Join us for a year’s worth of education packed into one amazing week. View the full article

Welcome to the world of investments!View the full article

The PartyRock Generative AI Hackathon wrapped up earlier this month. Entrants were asked to use PartyRock to build a functional app based on one of four challenge categories, with the option to remix an existing app as well. The hackathon attracted 7,650 registrants who submitted over 1,200 projects, and published over 250 project blog posts on community.aws . As a member of the judging panel, I was blown away by the creativity and sophistication of the entries that I was asked to review. The participants had the opportunity to go hands-on with prompt engineering and to learn about Foundation Models, and pushed the bounds of what was possible. Let’s take a quick look …

Going through a career transition is never easy, but having access to the right training resources and expert guidance can help you develop the skills and confidence you need to succeed. That’s one of the primary reasons Steen Krogh Groennebaek turned to AWS Skills Center Seattle when he was ready to explore a career in the cloud. As a job seeker with some previous exposure to artificial intelligence (AI) and machine learning, Steen realized that acquiring new skills would be critical to remaining a good job candidate for hiring companies. Although he didn’t have direct experience with the cloud, he was intrigued by the strong growth, the variety of in-demand roles to c…

Knowledge Bases for Amazon Bedrock securely connects foundation models (FMs) to internal company data sources for Retrieval Augmented Generation (RAG) to deliver more relevant and accurate responses. Anthropic’s Claude 3 Haiku foundation model is now generally available on Knowledge Bases. We recently also announced support for Claude 3 Sonnet. View the full article

Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.View the full article

Knowledge Bases for Amazon Bedrock is a fully managed Retrieval-Augmented Generation (RAG) capability that allows you to connect foundation models (FMs) to internal company data sources to deliver relevant and accurate responses. We are excited to add new capabilities for building enterprise-ready RAG. Knowledge Bases now supports AWS CloudFormation and Service Quotas. View the full article

Similar to the iterative nature of AI projects, AI strategy also requires continuous adjustments to bring successful AI transformation.View the full article

Access Mistral’s latest open-source model and fine-tune it on a custom dataset.View the full article

The C-suite of business, technology, and data executives sees a new addition – the CAIO (Chief AI Officer). But what does this role mean for the organizations? Let’s find out!View the full article

Introduction Quora is a leading Q&A platform with a mission to share and grow the world’s knowledge, serving hundreds of millions of users worldwide every month. Quora uses machine learning (ML) to generate a custom feed of questions, answers, and content recommendations based on each user’s activity, interests, and preferences. ML drives targeted advertising on the platform, where advertisers use Quora’s vast user data and sophisticated targeting capabilities to deliver highly personalized ads to the audience. Moreover, ML plays a pivotal role in maintaining high-quality content for users by effectively filtering spam and moderating content. Quora launched Poe, a …

Do you want to know how to run LLMs on your computer without installing a lot of dependencies or writing code? Well, you're in luck! By the end of this tutorial, you will have successfully run an LLM using llamafile and interacted with it through a user-friendly interface.View the full article

Mistral Large, Mistral AI’s flagship cutting-edge text generation model is now generally available on Amazon Bedrock. Mistral Large is widely known for its top-tier reasoning capabilities, specific instruction following, and multilingual translation abilities. It excels in coding and mathematical tasks and is natively fluent in English, French, Spanish, German, and Italian, with a nuanced understanding of grammar and cultural context. Mistral Large performs well on retrieval augmented generation (RAG) use cases, its 32K token context window facilitates precise information retrieval from lengthy documents. View the full article

Learn how to use Gemini Pro locally and deploy your own private web application on Vercel in just one minute.View the full article

Last month, we announced the availability of two high-performing Mistral AI models, Mistral 7B and Mixtral 8x7B on Amazon Bedrock. Mistral 7B, as the first foundation model of Mistral, supports English text generation tasks with natural coding capabilities. Mixtral 8x7B is a popular, high-quality, sparse Mixture-of-Experts (MoE) model, that is ideal for text summarization, question and answering, text classification, text completion, and code generation. Today, we’re announcing the availability of Mistral Large on Amazon Bedrock. Mistral Large is ideal for complex tasks that require substantial reasoning capabilities, or ones that are highly specialized, such as Syntheti…

In March 2024, we announced the general availability of the generative artificial intelligence (AI) generated data descriptions in Amazon DataZone. In this post, we share what we heard from our customers that led us to add the AI-generated data descriptions and discuss specific customer use cases addressed by this capability. We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock. Amazon DataZone enables you to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyo…

Start your AI journey today with these courses from Google.View the full article

We are excited to announce that Knowledge Bases for Amazon Bedrock now lets you create custom prompts to have greater control over personalizing the responses generated by the Foundation Model (FM). Additionally, you can configure the number of retrieved passages, which improves accuracy by providing added context to the FM. View the full article

Amazon DataZone is used by customers to catalog, discover, analyze, share, and govern data at scale across organizational boundaries with governance and access controls. Today, AWS announces the general availability of a new generative AI-based capability in Amazon DataZone to improve data discovery, data understanding and data usage by enriching the business data catalog. With a single click, data producers can generate comprehensive business data descriptions and context, highlight impactful columns, and include recommendations on analytical use cases. View the full article

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests, provide the foundation to build more specialized downstream applications, and are unique in their adaptability. They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type o…

Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing.View the full article

Today, AWS announces the Bedrock GenAI chatbot blueprint in Amazon CodeCatalyst. CodeCatalyst customers can use this blueprint to quickly build and launch a generative AI chatbot with Amazon Bedrock and Anthropic’s Claude. This blueprint helps development teams build and deploy their own secure, login-protected LLM playground that can be customized to their data. You can get started by creating a project in CodeCatalyst. For more information, see the CodeCatalyst documentation and the Bedrock GenAI Chatbot documentation. View the full article

GenAI has enabled new search engine platforms with unique features and advantages, challenging Google's dominance.View the full article

Anthropic’s Claude 3 Haiku foundation model is now generally available on Amazon Bedrock. The Claude 3 family of models (Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku) is the next generation of state-of-the-art models from Anthropic. Claude 3 Haiku is one of the most affordable and fastest options on the market for its intelligence category. View the full article

Today is AWS Pi Day! Join us live on Twitch, starting at 1 PM Pacific time. On this day 18 years ago, a West Coast retail company launched an object storage service, introducing the world to Amazon Simple Storage Service (Amazon S3). We had no idea it would change the way businesses across the globe manage their data. Fast forward to 2024, every modern business is a data business. We’ve spent countless hours discussing how data can help you drive your digital transformation and how generative artificial intelligence (AI) can open up new, unexpected, and beneficial doors for your business. Our conversations have matured to include discussion around the role of your own d…

Explore the fundamental steps for creating a successful AI Application with Python and other tools.View the full article

Last week, Anthropic announced their Claude 3 foundation model family. The family includes three models: Claude 3 Haiku, the fastest and most compact model for near-instant responsiveness; Claude 3 Sonnet, the ideal balanced model between skills and speed; and Claude 3 Opus, the most intelligent offering for top-level performance on highly complex tasks. AWS also announced the general availability of Claude 3 Sonnet in Amazon Bedrock. Today, we are announcing the availability of Claude 3 Haiku on Amazon Bedrock. The Claude 3 Haiku foundation model is the fastest and most compact model of the Claude 3 family, designed for near-instant responsiveness and seamless generati…

Today, AWS announces that Amazon Aurora ML now provides access to foundation models available in Amazon Bedrock directly through SQL in the Aurora MySQL 3.06 version. View the full article

Anthropic has released a new series of large language models and an updated Python API to access them.View the full article

Anthropic’s Claude 3 Sonnet foundation model is now generally available on Amazon Bedrock. The Claude 3 family of models (Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku) is the next generation of state-of-the-art models from Anthropic. For the vast majority of workloads, Sonnet is faster on inputs and outputs than Anthropic’s Claude 2 and 2.1 models, with higher levels of intelligence. Sonnet is also more steerable, delivering more predictable and higher quality outcomes. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Anthropic, along with a broad set of capabilities that provide you …

In September 2023, we announced a strategic collaboration with Anthropic that brought together their respective technology and expertise in safer generative artificial intelligence (AI), to accelerate the development of Anthropic’s Claude foundation models (FMs) and make them widely accessible to AWS customers. You can get early access to unique features of Anthropic’s Claude model in Amazon Bedrock to reimagine user experiences, reinvent your businesses, and accelerate your generative AI journeys. In November 2023, Amazon Bedrock provided access to Anthropic’s Claude 2.1, which delivers key capabilities to build generative AI for enterprises. Claude 2.1 includes a 200,…

Transform your understanding of current and future tech with these top 5 AI reads to explore the minds shaping our future.View the full article

Last week, we announced that Mistral AI models are coming to Amazon Bedrock. In that post, we elaborated on a few reasons why Mistral AI models may be a good fit for you. Mistral AI offers a balance of cost and performance, fast inference speed, transparency and trust, and is accessible to a wide range of users. Today, we’re excited to announce the availability of two high-performing Mistral AI models, Mistral 7B and Mixtral 8x7B, on Amazon Bedrock. Mistral AI is the 7th foundation model provider offering cutting-edge models in Amazon Bedrock, joining other leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. This integration provides …

AI Con USA is scheduled for June 2-7 in Las Vegas, and it's bringing together some of the brightest minds in the realm of artificial intelligence and machine learning.View the full article

Your Ultimate Learning Companion.View the full article

Mistral AI, an AI company based in France, is on a mission to elevate publicly available models to state-of-the-art performance. They specialize in creating fast and secure large language models (LLMs) that can be used for various tasks, from chatbots to code generation. We’re pleased to announce that two high-performing Mistral AI models, Mistral 7B and Mixtral 8x7B, will be available soon on Amazon Bedrock. AWS is bringing Mistral AI to Amazon Bedrock as our 7th foundation model provider, joining other leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. With these two Mistral AI models, you will have the flexibility to choose the op…

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data. Leveraging AI and semantic layers is advancing business intelligence, making it easier than ever for people to interact with data.View the full article

Learn the skills you require to kickstart your Generative AI journey with DataCamp - beginner, intermediate, and expert!View the full article

Stable Diffusion models are revolutionizing digital artistry, transforming mere text into stunning, lifelike images. Explore further here.View the full article