Artificial Intelligence (AI)

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 data used to train AI models needs to reflect the production environments where applications are deployed.View the full article

Tech giants weigh in on how they try to mitigate the effects of generative AI on power and water resources.View the full article

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

The secret to how Tesla builds their Optimus robot ...

Cat robot with fur turns out to be surprisingly flammable, to itself. View the full article

Tricentis this week added a generative artificial intelligence (AI) capability, dubbed Tricentis Copilot, to its application testing automation platform to reduce the amount of code that DevOps teams need to manually create. Based on an instance of the large language model (LLM) created by Open AI that has been deployed on the Microsoft Azure cloud, […] View the full article

AI-native language translation application DeepL Translate is launching into Australia and Singapore following regional forays into Japan and South Korea. Founder and CEO Jarek Kutylowski said it is targeting APAC businesses that require more natural language translations.View the full article

Most AI foundation models are being developed in markets like the U.S. and China. Research from Australia asks whether other countries should be building sovereign AI models for citizens and businesses.View the full article

The emergence of low/no-code platforms is challenging traditional notions of coding expertise. Gone are the days when coding was an exclusive skill set reserved for a knowledgeable few. Low/no-code platforms have democratized software development. They empower individuals from non-IT or technical backgrounds to translate their business ideas into applications without the need to master complex […]View the full article

We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3 , on Databricks. With Llama... View the full article

When it comes to enterprise adoption of generative AI, most organizations are in transition. While around 90% of customers we've talked to say... View the full article

Organizations can contribute to the platform’s GitHub or receive a framework for creating enterprise-grade generative AI systems.View the full article

AI is everywhere; on our cell phones, on our computers, and frequently in the headlines. But behind all the headlines, the use of... View the full article

Counter fierce competition for the best jobs with powerful AI tools to help you craft killer resumes and cover letters and perfect your interview technique.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…

Two thirds of developers are using AI in product development, primarily for coding, documentation, and conducting research.View the full article

Speeding up large language model workloads is one of the priorities for the business laptop processors. View the full article

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 …

75% of enterprise coders will use AI helpers by 2028. We didn't say productivelyView the full article

Microsoft Copilot can write basic SQL code, which could help your employees be more efficient and productive.View the full article

Trying to decide which version of Microsoft Copilot is right for you? This guide will help you compare and choose the one that best suits your needs.View the full article

Generative AI is finding its niches within business in 2024, with multimodal models providing new capabilities. At the same time, artists glaze their work against AI scraping.View the full article

Google this week added a generative artificial intelligence (AI) tool dubbed Gemini Cloud Assist to automate a wider range of tasks across the software development lifecycle, including troubleshooting applications running on the Google Cloud Platform (GCP) to surface recommendations to improve performance and enhance security. Announced at the Google Cloud Next ’24 conference, Gemini Cloud […]View the full article

Image-generating technologies offer significant benefits for retail and consumer goods companies. By using generative models that produce both stylized and photo-realistic images from... View the full article

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…

At Databricks, we’re committed to building the most efficient and performant training tools for large-scale AI models. With the recent release of DBRX... 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. 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

Two variants of Xeon 6 processors are coming later this year, Intel announced at the Intel Vision 2024 conference.View the full article

Simple tests can demonstrate whether a code generator is actually doing what you ask. 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

Today’s options for best AI courses offer a wide variety of hands-on experience with generative AI, machine learning and AI algorithms.View the full article