Artificial Intelligence (AI)

Hugging Face now hosts more than 700,000 models, with the number continuously rising. It has become the premier repository for AI/ML models, catering to both general and highly specialized needs. As the adoption of AI/ML models accelerates, more application developers are eager to integrate them into their projects. However, the entry barrier remains high due to the complexity of setup and lack of developer-friendly tools. Imagine if deploying an AI/ML model could be as straightforward as spinning up a database. Intrigued? Keep reading to find out how... View the full article

OpenAI’s recent acquisition of Rockset is a significant milestone in the AI and data management sectors. This acquisition is poised to bolster OpenAI’s capabilities in real-time analytics and data processing, critical areas for advancing AI technology. The acquisition of Rockset, a company renowned for its real-time analytics platform, aligns with OpenAI’s mission to enhance its […] The article OpenAI Acquires Rockset: A Strategic Move in AI and Data Processing was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

By combining Retrieval Augmented Generation (RAG) with Generative AI, you can create a more intelligent and context aware AI solution that can more accurately generate text responses. I’ve previously written about building a generative AI application using C#, Phi-3 and the ONNX Runtime. This article will take the foundation covered in that article and add […] The article Build a Generative AI + RAG App in C# with Phi-3, ONNX, and SharpVector was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article

Several current and former employees of OpenAI and Google DeepMind today shared an open letter warning of the dangers of advanced AI and the current lack of oversight of companies working on AI technology. The employees suggest there are a number of risks that we are facing from AI development, including further entrenchment of existing inequalities, manipulation and misinformation, and loss of control of autonomous AI systems, which the letter says could lead to human extinction... This article, "OpenAI Employees Warn of Advanced AI Dangers" first appeared on MacRumors.com View the full article

Topic was moved to forum Databases

Microsoft recently released the new Phi-3-mini SLM (small language model), and I previously wrote about running Phi3 locally using Ollama. I’ve been exploring the world of hosting AI models in code lately, and this stuff is getting really interested. It turns out that among the tools to run AI models locally, there are developer tools […] The article Build a Generative AI App in C# with Phi-3-mini LLM and ONNX appeared first on Build5Nines. 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

Atlassian outsources office drudgery to GenAI agentsView the full article

Atlassian acquired Optic, which uses OpenAPI to track API changes across a continuous integration pipeline. It also announced a new AI tool. View the full article

Amazon Web Services (AWS) this week make generally available an instance of a generative artificial intelligence (AI) assistant capable of executing complex workflows on behalf of application developers. Doug Seven, general manager and director of AI developer experiences at AWS, said Amazon Q Developer employs the reasoning engines within large language models (LLMs) to automate […]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

Postman today generally made available a generative artificial intelligence (AI) tool for its platform for building and managing application programming interfaces (APIs) that automatically creates tests and documentation. Announced at a POST/CON 2024 conference, Postbot is included with version 11 of the Postman platform which also adds workspaces that make it simpler for software engineering […]View the full article

GitHub this week made available a formal technical preview of an approach to building software that uses generative artificial intelligence (AI) to complete tasks on behalf of a software engineering team. Rather than simply generating code for developers, GitHub Copilot Workspace is leveraging more advanced reasoning engine capabilities that are being added to large language […]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 …

Since I’ve been working with Azure OpenAI Service from a developer perspective as well, I’ve decided to build a sample application to help demonstrate not just the IaC deployment of Azure OpenAI Service and GPT models, but also to demonstrate some basic use cases of integrating AI into your own enterprise applications. Here’s a screenshot […] The article Introducing AIChatUI: Open Source AI Chat Sample with Azure OpenAI Service & GPT-3 / GPT-4 appeared first on Build5Nines. View the full article

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

Topic was moved to forum Databases

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…

In the area of artificial intelligence (AI), the quest for smaller yet powerful language models has been an ongoing pursuit. Microsoft has taken a significant leap forward with the introduction of Phi-3. These new models promise to redefine the landscape of Small Language Models (SLMs), offering unparalleled capabilities and cost-effectiveness. Phi-3 Unveiled Phi-3 emerges as […] The article Phi-3: Microsoft Redefines Small Language Models (SLMs) appeared first on Build5Nines. View the full article

We’re excited to announce the Databricks Generative AI Hackathon winners. This hackathon garnered hundreds of data and AI practitioners spanning 60 invited companies... View the full article

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 specification d…

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

Copado's genAI tool automates testing in Salesforce software-as-a-service (SaaS) application environments. View the full article

Nvidia CEO Jensen Huang hand-delivered the world's first DGX H200 computer to OpenAI's CEO and president, continuing a trend of connecting OpenAI with bleeding edge AI compute power. View the full article

Sir Walter Richardson is using a Raspberry Pi to power his AI-based robot that follows runners, shouting messages of encouragement or discouragement depending on their performance. View the full article

Plus, Salesforce bundles its AI implementation and data governance services. 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

TechRepublic digs into the business implications of artificial intelligence trends highlighted in Stanford’s AI Index Report, with help from co-authors Robi Rahman and Anka Reuel.View the full article

We are excited to introduce Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks. This release expands the selection of high-quality models for customers, offering more practical choices as they compose and build generative AI applications. Starting today, Phi-3-mini, a 3.8B language model is available on Microsoft Azure AI Studio, Hugging Face, and Ollama... The post Introducing Phi-3: Redefining what’s possible with SLMs appeared first on Microsoft Azu…

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