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所在平台: Udemy |
课程主页: https://www.udemy.com/course/langchain-unleashed-a-guide-to-using-open-source-llm-models/
课程评论：没有评论
课程名称：LangChain Unleashed: A Guide To Using Open Source LLM Models 课程概述： 在本课程中，我将教授如何使用LangChain构建基于大语言模型（LLM）的应用程序，所使用的模型来自Hugging Face的开源资源。LangChain是一个旨在简化使用大型语言模型开发应用程序的框架，它的应用与语言模型密切相关，涵盖文档分析、摘要、聊天机器人和代码分析等领域。 LLM是什么？ 大型语言模型（LLM）是一种人工智能模型，经过大量文本数据的训练，旨在根据输入生成类似人类的文本。在本课程中，我将使用如Llama 2 7B和Mistral 7B等LLMs。 LCEL是什么？ LangChain表达语言（LCEL）是在LangChain框架内出现的一种声明性方法，使得链式组合变得轻松自如。LCEL从一开始就强调无缝地从原型过渡到生产环境，适应不同复杂度的场景，从简单的“提示 + LLM”序列到包含数百个步骤的复杂链。其显著特点包括支持流式处理以优化首次响应时间、异步能力以实现多样化的API使用以及为了降低延迟而优化的并行执行。LCEL还提供重试、回退和获取中间结果的配置，提高了可靠性和调试的便捷性。 在本课程中，您将学习： - LangChain基础 - LangChain表达语言 - 链的概念 - 内存管理 - 代理与工具 - 重新审视生成（RAG）等内容 免责声明：在本课程中，我将不使用OpenAI API，而是使用来自Hugging Face的开源模型，实验平台为Windows和Kaggle。
In this course I will teach you how to use langchain to build LLM powered Applications and I will be using Open source models from hugging face What is LangChain?LangChain serves as a framework aimed at streamlining the development of applications utilizing Large language models. Functioning as a language model integration framework, LangChain's applications align closely with those of language models, spanning document analysis, summarization, chatbots, and code analysis.What is an LLM?A Large Language Model (LLM) is a type of artificial intelligence model that is trained on a vast amount of text data. It's designed to generate human-like text based on the input it receives.In this course, I will be using LLMs such as Llama 2 7B and Mistral 7B.What is LCEL?LangChain Expression Language (LCEL) emerges as a declarative method within the LangChain framework, enabling effortless composition of chains. From its inception, LCEL prioritizes seamless transition from prototypes to production, accommodating a spectrum of complexities, from straightforward "prompt + LLM" sequences to intricate chains comprising hundreds of steps. Noteworthy features encompass streaming support for optimal time-to-first-token, asynchronous capabilities for versatile API usage, and optimized parallel execution for reduced latency. LCEL further offers configurations for retries, fallbacks, and access to intermediate results, enhancing reliability and debugging.In this course you learn - Langchain Basics - Langchain Expression Language- Chains- Memory- Agents and Tools- RAG etcDisclaimer: In this course I won't be using Open Ai API instead I would be using Open source models from hugging face and i will be using windows, kaggle
