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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems…

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Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems […]

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Amazon

AWS CloudTrail network activity events for VPC endpoints now generally available

AWS CloudTrail now offers network activity events for VPC endpoint logging, enabling comprehensive monitoring and recording of AWS API activity through VPC endpoints to enhance security visibility, detect unauthorized access, and prevent data exfiltration without requiring custom TLS traffic inspection solutions. Source

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AWS CloudTrail now offers network activity events for VPC endpoint logging, enabling comprehensive monitoring and recording of AWS API activity through VPC endpoints to enhance security visibility, detect unauthorized access, and prevent data exfiltration without requiring custom TLS traffic inspection solutions.

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Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock

In this post, we explore what language embeddings are and how they can be used to enhance your application. We show how, by using the properties of embeddings, we can implement a real-time zero-shot classifier and can add powerful features such as semantic search. Source

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In this post, we explore what language embeddings are and how they can be used to enhance your application. We show how, by using the properties of embeddings, we can implement a real-time zero-shot classifier and can add powerful features such as semantic search.

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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles. Source

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In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

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