|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/retrieval-augmented-generation-rag-in-llms/
课程评论：没有评论
**课程名称：** Mastering Retrieval Augmented Generation (RAG) IN LLMs (掌握大型语言模型中的检索增强生成) **课程概述：** 本课程旨在帮助学习者全面了解检索增强生成（RAG）技术，以及它如何增强大型语言模型（LLMs）的能力。通过学习，您将掌握如何从外部数据源检索相关信息，并将其无缝集成到LLM的响应中，从而生成更具信息量和准确性的结果。 **课程目标：** * 建立对生成式AI和LLMs的扎实理解。 * 深入探索RAG的概念及其优势。 * 学习使用Langchain库导入和交互LLMs。 * 掌握利用Ollama从PDF和CSV文件中提取上下文信息的技术。 * 应用RAG技术以提升LLM在各类任务中的表现。 **课程结构：** 1. **生成式AI与LLMs入门：** 奠定生成式AI和LLMs的基础知识。 2. **RAG入门：** 探讨RAG的概念、优势及工作原理。 3. **使用Langchain导入LLMs：** 学习如何高效地使用Langchain库导入和交互LLMs。 4. **使用Ollama从PDF提取上下文用于LLM：** 学习如何从PDF文件中提取信息并整合到LLM响应中。 5. **使用Ollama从CSV提取上下文用于LLM：** 学习如何从CSV文件中提取上下文信息并整合到LLM响应中。 **为何选择本课程？** * **实践导向：** 提供RAG技术和工具的实践操作经验。 * **专家指导：** 由生成式AI领域的资深专家授课。 * **全面覆盖：** 涵盖从LLM导入到上下文提取的整个RAG工作流程。 * **实际应用：** 探索RAG在不同任务和行业中的应用。 立即报名，解锁RAG的强大能力，提升您的LLM应用！
In today's rapidly evolving landscape of artificial intelligence, Large Language Models (LLMs) have emerged as powerful tools for a wide range of applications. However, to truly unlock their full potential, we need to equip them with the ability to access and process external information. That's where Retrieval Augmented Generation (RAG) comes into play.This course will provide you with a comprehensive understanding of RAG and its applications in enhancing LLM capabilities. You'll learn how to effectively retrieve relevant information from external sources and integrate it into the LLM's responses, making them more informative and accurate.Course ObjectivesGain a solid understanding of generative AI and LLMs.Explore the concept of RAG and its benefits.Learn how to use Langchain to import and interact with LLMs.Master the process of extracting context from PDFs and CSVs using Ollama.Apply RAG techniques to enhance LLM performance in various tasks.Course StructureIntroduction to Gen-AI using LLMs: This introductory lecture will provide a foundational understanding of generative AI and LLMs.Introduction to RAG: Explore the concept of RAG, its benefits, and how it works.Using Langchain to Import LLMs: Learn how to effectively import and interact with LLMs using the Langchain library.Using Ollama to Extract Context from PDFs for LLM: Discover how to extract relevant information from PDFs and incorporate it into LLM responses.Using Ollama to Extract Context from CSVs for LLM: Learn to extract context from CSV files and integrate it into LLM responses.Why Choose This Course?Practical Focus: Gain hands-on experience with RAG techniques and tools.Expert Guidance: Learn from experienced instructors in the field of generative AI.Comprehensive Coverage: Explore the entire RAG workflow from importing LLMs to extracting context.Real-World Applications: Discover how RAG can be applied to various tasks and industries.Enroll today and unlock the power of RAG to enhance your LLM applications!
