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

Market News

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. ...

Market News

How I Successfully Launched a Big AI Agent: Lessons Learned and Key Insights for Developers

This article critiques a standard prompt template used for RAG (Retrieval-Augmented Generation) task in AI question-answering systems. The author emphasizes that the prompt lacks essential features like examples, output formats, and edge case handling, which are crucial for achieving high accuracy in responses. Simply having good data and a solid framework isn’t enough; a well-structured ...

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