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Today, I’m excited to share that you can now privately and securely customize foundation models (FMs) with your own data in Amazon Bedrock to build applications that are specific to your domain, organization, and use case. With custom models, you can create unique user experiences that reflect your company’s style, voice, and services. With fine-tuning,…
Back in September, we introduced Knowledge Bases for Amazon Bedrock in preview. Starting today, Knowledge Bases for Amazon Bedrock is generally available. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant,…
Read More “Knowledge Bases now delivers fully managed RAG experience in Amazon Bedrock” »
Today, we’re announcing the general availability of artificial intelligence (AI)-powered code remediation and infrastructure as code (IaC) support for Amazon CodeWhisperer, an AI-powered productivity tool for the IDE and command line. Amazon CodeWhisperer is also now available in Visual Studio, in preview. These new enhancements to Amazon CodeWhisperer help to enable faster and more efficient…
To make it easy to interact with your operational data, Amazon CloudWatch is introducing today natural language query generation for Logs and Metrics Insights. With this capability, powered by generative artificial intelligence (AI), you can describe in English the insights you are looking for, and a Logs or Metrics Insights query will be automatically generated….
Read More “Use natural language to query Amazon CloudWatch logs and metrics (preview)” »
We are announcing generative artificial intelligence (AI)-powered call summarization in Amazon Transcribe Call Analytics in preview. Powered by Amazon Bedrock, this feature helps businesses improve customer experience, and agent and supervisor productivity by automatically summarizing customer service calls. Amazon Transcribe Call Analytics provides machine learning (ML)-powered analytics that allows contact centers to understand the sentiment,…
If you are ready to learn more about Generative AI while having fun and building cool stuff, check out PartyRock.aws . You can experiment, learn all about prompt engineering, build mini-apps, and share them with your friends — all without writing any code or creating an AWS account. You can also start with an app…
Read More “Build AI apps with PartyRock and Amazon Bedrock” »
Today, we’re announcing the availability of Meta’s Llama 2 Chat 13B large language model (LLM) on Amazon Bedrock. With this launch, Amazon Bedrock becomes the first public cloud service to offer a fully managed API for Llama 2, Meta’s next-generation LLM. Now, organizations of all sizes can access Llama 2 Chat models on Amazon Bedrock…
Read More “Amazon Bedrock now provides access to Meta’s Llama 2 Chat 13B model” »
Cohere provides text generation and representation models powering business applications to generate text, summarize, search, cluster, classify, and utilize Retrieval Augmented Generation (RAG). Today, we’re announcing the availability of Cohere Command Light and Cohere Embed English and multilingual models on Amazon Bedrock. They’re joining the already available Cohere Command model. Amazon Bedrock is a fully…
Recent advancements in machine learning (ML) have unlocked opportunities for customers across organizations of all sizes and industries to reinvent new products and transform their businesses. However, the growth in demand for GPU capacity to train, fine-tune, experiment, and inference these ML models has outpaced industry-wide supply, making GPUs a scarce resource. Access to GPU…
An AI coding companion, such as Amazon CodeWhisperer, aims to improve developers’ productivity by helping them write code quickly and securely. However, in particular cases, developers need to have code recommendations based on their internal libraries and APIs they extensively use every day. As most of the existing AI coding companion tools are trained only…
