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Announcing Llama 3.1 405B, 70B, and 8B models from Meta in Amazon Bedrock
Today, we are announcing the availability of Llama 3.1 models in Amazon Bedrock. The Llama 3.1 models are Meta’s most advanced and capable models to date. The Llama 3.1 models…
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AWS Weekly Roundup: Global AWS Heroes Summit, AWS Lambda, Amazon Redshift, and more (July 22, 2024)
Last week, AWS Heroes from around the world gathered to celebrate the 10th anniversary of the AWS Heroes program at Global AWS Heroes Summit. This program recognizes a select group…
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AWS Weekly Roundup: Advanced capabilities in Amazon Bedrock and Amazon Q, and more (July 15, 2024).
As expected, there were lots of exciting launches and updates announced during the AWS Summit New York. You can quickly scan the highlights in Top Announcements of the AWS Summit…
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Vector search for Amazon MemoryDB is now generally available
Today, we are announcing the general availability of vector search for Amazon MemoryDB, a new capability that you can use to store, index, retrieve, and search vectors to develop real-time…
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Build enterprise-grade applications with natural language using AWS App Studio (preview)
Organizations often struggle to solve their business problems in areas like claims processing, inventory tracking, and project approvals. Custom business applications could provide a solution to solve these problems and…
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Amazon Q Apps, now generally available, enables users to build their own generative AI apps
When we launched Amazon Q Business in April 2024, we also previewed Amazon Q Apps. Amazon Q Apps is a capability within Amazon Q Business for users to create generative…
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Customize Amazon Q Developer (in your IDE) with your private code base
Today, we’re making the Amazon Q Developer (in your IDE) customization capability generally available for inline code completion, and we’re launching a preview of customization for the chat. You can…
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Agents for Amazon Bedrock now support memory retention and code interpretation (preview)
With Agents for Amazon Bedrock, generative artificial intelligence (AI) applications can run multistep tasks across different systems and data sources. A couple of months back, we simplified the creation and…
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Guardrails for Amazon Bedrock can now detect hallucinations and safeguard apps built using custom or third-party FMs
Guardrails for Amazon Bedrock enables customers to implement safeguards based on application requirements and and your company’s responsible artificial intelligence (AI) policies. It can help prevent undesirable content, block prompt…
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Knowledge Bases for Amazon Bedrock now supports additional data connectors (in preview)
Using Knowledge Bases for Amazon Bedrock, foundation models (FMs) and agents can retrieve contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG). RAG helps FMs deliver…