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Tag: question answering

Databricks DBRX is now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce that the DBRX model, an open, general-purpose large language model (LLM) developed by Databricks, is available for customers...

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock | Amazon Web Services

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly...

Meta Llama 3 models are now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce that Meta Llama 3 foundation models are available through Amazon SageMaker JumpStart to deploy and run inference. The Llama...

Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results | Amazon...

With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation...

Advanced RAG patterns on Amazon SageMaker | Amazon Web Services

Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS),...

Efficient continual pre-training LLMs for financial domains | Amazon Web Services

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on...

Databricks claims its open source LLM outsmarts GPT-3.5

Analytics platform Databricks has launched an open source foundational large language model, hoping enterprises will opt to use its tools to jump on the...

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock | Amazon Web Services

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can...

Best practices to build generative AI applications on AWS | Amazon Web Services

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. However,...

Gemma is now available in Amazon SageMaker JumpStart  | Amazon Web Services

Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on...

Large language model inference over confidential data using AWS Nitro Enclaves | Amazon Web Services

This post is co-written with Justin Miles, Liv d’Aliberti, and Joe Kovba from Leidos.  Leidos is a Fortune...

Knowledge Bases for Amazon Bedrock now supports hybrid search | Amazon Web Services

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation...

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock | Amazon Web Services

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a...

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