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英文字典中文字典相关资料:


  • LLM-based Text Summarization: Novice to Maestro - GitHub
    LLM-based Text Summarization: Novice to Maestro 🚀 A comprehensive guide and codebase for text summarization harnessing the capabilities of Large Language Models (LLMs) Delve deep into techniques, from chunking to clustering, and maximize the potential of LLMs like GPT-3 5 and GPT-4
  • How to use LLMs: Summarize long documents : r PromptEngineering - Reddit
    TLDR: Iteratively MapReduce a larger text into context window sized chunks, overlapping where needed, crafting a summary of summaries as deep as necessary to fit the context window This is a lossy compression method, basically, and I think signal must get reduced in some ratio, such as the number of iterations to the size of the original content
  • LLM Summarization: Getting To Production - Arize AI
    To recap, this article covers how to perform LLM summarization, the wide range of important factors around LLM summarization – like better ways to chunk data for summarization – and how to perform summarization evals classification with LLM evals using three OpenAI models
  • How to use LLMs: Summarize long documents - DEV Community
    Luckily, there exists a technique that can get an LLM to summarize a document longer than its context window size The technique is called MapReduce It’s based on dividing the text in a collection of smaller texts that do fit in the context window and then summarizing each part separately
  • LLM Summarization: Techniques, Metrics, and Top Models - ProjectPro
    Explore LLM summarization techniques, top models, evaluation metrics, and benchmarks, and learn how fine-tuning enhances document summarization performance Lengthy documents can be hard to read, so research papers often include an abstract—a summary of the key points
  • Summarize API Data for LLMs - apxml. com
    Learn to process and summarize data from API responses to provide concise and relevant information to the LLM
  • Evaluating LLM Summarization Quality - Matt Ambrogi
    Using LLMs for summarization For example, how should you summarize large documents? Imagine you want to provide summaries of 20+ page documents for users “Stuff”: just use an LLM with a large context window and stuff all the content in there
  • What Can LLM APIs Be Used For? A Complete Guide with Examples
    Discover all practical uses of LLM APIs, from content creation to automation Learn how to implement LLM APIs in your projects with real examples and step-by-step guides
  • LLM Essentials: Mastering LangChain and OpenAI API for AI Development
    LangChain is an open-source framework designed to simplify the process of building applications with LLMs It provides a set of tools and abstractions that make it easier to chain together different language model operations and integrate them with other systems





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