Articles for tag: AI Technologies, context maintenance, document parsing, information retrieval, LLMs, medical applications, Question-Answering

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Enhancing Medical Practice: Active Inference Strategies for Reliable Responses from Large Language Models

Preparing large language models (LLMs) and specialized knowledge bases ensures they perform reliably in specific domains. The process begins with simplifying complex documents, like scientific papers, to make them LLM-friendly by addressing parsing challenges. The next step is to maintain context when breaking text into smaller chunks, crucial for accurate interpretation in fields like medicine. ...

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Enhancing Medical Practice: Active Inference Strategies for Reliable Responses from Large Language Models

This article discusses the essential steps for preparing large language models (LLMs) and domain-specific knowledge bases for effective use, particularly in handling complex documents like scientific papers and corporate filings. The first step involves simplifying document parsing since intricate formats can disrupt LLM functionality. Next, the text is chunked carefully to preserve context, which is ...

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Transforming Research and Work with Autonomous Software: A Comprehensive Look at WorkOS Innovations

AI agents are revolutionizing research and work by taking over tasks that usually require manual effort. Instead of typing queries into a search engine, AI agents autonomously find relevant information, analyze data, and deliver structured summaries, streamlining the research process. They operate independently, gather data from various sources, make decisions about what to fetch, and ...

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Unlocking Azure AI Agent Service Potential Through Real-Time Web Search for Enhanced Insights and Performance

This guide explains how to use Azure OpenAI’s Bing Search grounding feature, which is supported by specific models like gpt-4o-0513. Users can install necessary packages, log into Azure, and create an AI assistant that utilizes Bing for information retrieval. The process includes setting up a connection, initializing the assistant with instructions, and submitting queries, such ...

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WebWalker: Alibaba’s AI Framework for Benchmarking Multistep Reasoning in Web Traversal and Navigation Challenges

The advancement of artificial intelligence’s ability to efficiently navigate and understand complex information online is crucial for improving its performance. Unlike traditional search engines that provide basic results, many current AI systems, such as RAG, struggle with in-depth content and multi-step reasoning. In contrast, Alibaba Group’s innovative WebWalker framework offers a dual-agent approach for better ...

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