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 account resources This new capability helps you understand and manage your cloud infrastructure on AWS. With this capability,…
Category: AWS
Reposts from Amazon Web Services (AWS).
Run scalable, enterprise-grade generative AI workloads with Cohere Command R & R+, now available in Amazon Bedrock
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-Augmented Generation (RAG), and tool use to enable enterprises to move beyond proof-of-concept (POC), and into production using artificial intelligence (AI). Command R is…
AWS Weekly Roundup: Amazon Bedrock, AWS CodeBuild, Amazon CodeCatalyst, and more (April 29, 2024)
This was a busy week for Amazon Bedrock with many new features! Using GitHub Actions with AWS CodeBuild is much easier. Also, Amazon Q in Amazon CodeCatalyst can now manage more complex issues. I was amazed to meet so many new and old friends at the AWS Summit London. To give you a quick glimpse, here’s AWS Hero Yan Cui starting his presentation at the AWS Community stage. Last week’s launches With so many interesting new features, I start with generative artificial intelligence (generative AI) and then move to the other topics. Here’s what got my attention: Amazon Bedrock – For supported architectures such as Llama, Mistral, or Flan T5, you can now import custom models and access them on demand.…
Meta’s Llama 3 models are now available in Amazon Bedrock
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 Llama 2 models, including four times more code, which supports an 8K context…