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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications. These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. Amazon Bedrock agents use the power of large language models (LLMs) to perform …

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Build a generative AI assistant to enhance employee experience using Amazon Q Business

Build a generative AI assistant to enhance employee experience using Amazon Q Business

In today’s fast-paced business environment, organizations are constantly seeking innovative ways to enhance employee experience and productivity. There are many challenges that can impact employee productivity, such as cumbersome search experiences or finding specific information across an organization’s vast knowledge bases. Additionally, with the rise of remote and hybrid work models, traditional support systems such …

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Introducing document-level sync reports: Enhanced data sync visibility in Amazon Kendra

Introducing document-level sync reports: Enhanced data sync visibility in Amazon Kendra

Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra helps you aggregate content from a variety of content repositories into a centralized index that lets you quickly search all your enterprise data and find the most accurate answer. Amazon Kendra securely connects to over 40 data sources. When using your data …

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Fine-tune Meta Llama 3.1 models using torchtune on Amazon SageMaker

Fine-tune Meta Llama 3.1 models using torchtune on Amazon SageMaker

This post is co-written with Meta’s PyTorch team. In today’s rapidly evolving AI landscape, businesses are constantly seeking ways to use advanced large language models (LLMs) for their specific needs. Although foundation models (FMs) offer impressive out-of-the-box capabilities, true competitive advantage often lies in deep model customization through fine-tuning. However, fine-tuning LLMs for complex tasks …

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Integrate Amazon Bedrock Knowledge Bases with Microsoft SharePoint as a data source

Integrate Amazon Bedrock Knowledge Bases with Microsoft SharePoint as a data source

Amazon Bedrock Knowledge Bases provides foundation models (FMs) and agents in Amazon Bedrock contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. Amazon Bedrock Knowledge Bases offers a fully managed RAG experience. The data sources that can be connected to as knowledge bases …

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Achieve agility and scale in a dynamic cloud world

Achieve agility and scale in a dynamic cloud world

The cloud landscape is constantly changing, with new innovations, challenges, and opportunities emerging every day. To stay ahead of the curve and deliver the best value to your business, you need a cloud platform that is scalable and adaptable to your unique requirements. You need a cloud platform that lets you grow seamlessly, reach new …

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Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

In the field of technology and creative design, logo design and creation has adapted and evolved at a rapid pace. From the hieroglyphs of ancient Egypt to the sleek minimalism of today’s tech giants, the visual identities that define our favorite brands have undergone a remarkable transformation. Today, the world of creative design is once …

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