Build RAG and agent-based generative AI applications with new Amazon Titan Text Premier model, available in Amazon Bedrock
AWS News Blog
by Antje Barth
3d ago
Today, we’re happy to welcome a new member of the Amazon Titan family of models: Amazon Titan Text Premier, now available in Amazon Bedrock. Following Amazon Titan Text Lite and Titan Text Express, Titan Text Premier is the latest large language model (LLM) in the Amazon Titan family of models, further increasing your model choice within Amazon Bedrock. You can now choose between the following Titan Text models in Bedrock: Titan Text Premier is the most advanced Titan LLM for text-based enterprise applications. With a maximum context length of 32K tokens, it has been specifically optimized fo ..read more
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AWS Weekly Roundup: Amazon Q, Amazon QuickSight, AWS CodeArtifact, Amazon Bedrock, and more (May 6, 2024)
AWS News Blog
by Matheus Guimaraes
3d ago
April has been packed with new releases! Last week continued that trend with many new releases supporting a variety of domains such as security, analytics, devops, and many more, as well as more exciting new capabilities within generative AI. If you missed the AWS Summit London 2024, you can now watch the sessions on demand, including the keynote by Tanuja Randery, VP & Marketing Director, EMEA, and many of the break-out sessions which will continue to be released over the coming weeks. Last week’s launchesHere are some of the highlights that caught my attention this week: Manual and autom ..read more
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Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock
AWS News Blog
by Abhishek Gupta
1w ago
Foundational models (FMs) are trained on large volumes of data and use billions of parameters. However, in order to answer customers’ questions related to domain-specific private data, they need to reference an authoritative knowledge base outside of the model’s training data sources. This is commonly achieved using a technique known as Retrieval Augmented Generation (RAG). By fetching data from the organization’s internal or proprietary sources, RAG extends the capabilities of FMs to specific domains, without needing to retrain the model. It is a cost-effective approach to improving model out ..read more
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Stop the CNAME chain struggle: Simplified management with Route 53 Resolver DNS Firewall
AWS News Blog
by Sébastien Stormacq
1w ago
Updated 2 May 2024: I removed the reference to Route53 Alias that was incorrectly referred as a chain Starting today, you can configure your DNS Firewall to automatically trust all domains in a resolution chain (such as aCNAMEor DNAMEchain). Let’s walk through this in nontechnical terms for those unfamiliar with DNS. Why use DNS Firewall?DNS Firewall provides protection for outbound DNS requests from your private network in the cloud (Amazon Virtual Private Cloud (Amazon VPC)). These requests route through Amazon Route 53 Resolver for domain name resolution. Firewall administrators can configu ..read more
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Add your Ruby gems to AWS CodeArtifact
AWS News Blog
by Sébastien Stormacq
1w ago
Ruby developers can now use AWS CodeArtifact to securely store and retrieve their gems. CodeArtifact integrates with standard developer tools like gem and bundler. Applications often use numerous packages to speed up development by providing reusable code for common tasks like network access, cryptography, or data manipulation. Developers also embed SDKs–such as the AWS SDKs–to access remote services. These packages may come from within your organization or from third parties like open source projects. Managing packages and dependencies is integral to software development. Languages like Java ..read more
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Amazon Titan Text Embeddings V2 now available in Amazon Bedrock, optimized for improving RAG
AWS News Blog
by Sébastien Stormacq
1w ago
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 se ..read more
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Amazon Q Business, now generally available, helps boost workforce productivity with generative AI
AWS News Blog
by Channy Yun
1w ago
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 ..read more
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Amazon Q Developer, now generally available, includes new capabilities to reimagine developer experience
AWS News Blog
by Donnie Prakoso
1w ago
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 ..read more
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Run scalable, enterprise-grade generative AI workloads with Cohere Command R & R+, now available in Amazon Bedrock
AWS News Blog
by Veliswa Boya
1w ago
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 ..read more
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AWS Weekly Roundup: Amazon Bedrock, AWS CodeBuild, Amazon CodeCatalyst, and more (April 29, 2024)
AWS News Blog
by Danilo Poccia
1w ago
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 launchesWith 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 ..read more
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