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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-langchain-build-12-llm-apps-using-openai-llama-2/
课程评论：没有评论
课程名称：LangChain：使用OpenAI、Llama和DeepSeek构建26个LLM应用 课程概述：本课程旨在帮助学习者掌握LangChain、OpenAI、Llama、DeepSeek和Hugging Face的基本知识。通过实践项目，学习如何创建基于生成式LLM的应用，并利用Streamlit打造强大的Web前端。完成课程后，学员将对LangChain、OpenAI、Llama、DeepSeek和Hugging Face有深入理解，及使用Python通过Streamlit创建现代前端的能力。 项目内容包括： 1. 使用Llama 2和LangChain创建简单的聊天机器人。 2. 开发PDF聊天应用，允许用户与PDF文件交互。 3. 创建YouTube脚本写作应用，轻松生成视频标题与脚本。 4. 制作多项选择题测验创建者应用。 5. 为多个PDF文件构建聊天功能的Streamlit应用。 6. 创建网站支持聊天机器人，帮助访客找到相关信息。 7. 制作YouTube视频摘要工具。 8. 实现PDF文件总结功能，创建可共享的Web界面。 9. 开发私有聊天机器人以离线与文件对话。 10. 通过LangChain与书籍交互的聊天机器人。 11. 允许与多个文档聊天的应用。 12. 为任何网站创建定制聊天机器人。 13. 使用LangChain和Llama 2创建内容摘要的Flask API。 14. 介绍“GPT-LLM-Trainer”，用于训练特定任务模型。 15. 开发医疗聊天机器人。 16. 对Llama 2模型进行自定义数据集微调。 17. 与CSV文件聊天的应用。 18. 与多个PDF文件交互的应用。 19. 在CPU上运行Code Llama并创建Gradio Web应用。 20. 源代码分析工具。 21. 与多个PDF文件互动的应用。 22. 为多个PDF创建Streamlit聊天应用。 23. 利用Llama-Index和Google PaLM 2与文件对话。 24. 用DeepSeek R1 LLM构建Streamlit AI聊天机器人。 25. 构建基于DeepSeek R1的RAG-powered Streamlit应用。 26. 使用LangChain从零开始构建MCP服务器。 课程内容将深入探讨LangChain的各个组件，包括LLM包装器、提示模板、链、代理、内存和文档加载器，同时还会讲解嵌入和向量数据库。通过这些项目，学习者将能够掌握构建可扩展和高性能AI应用的能力。
Master LangChain, OpenAI, Llama, DeepSeek and Hugging Face. Learn to Create hands-on generative LLM-powered applications with LangChain. Create powerful web-based front-ends for your LLM Application using Streamlit.By the end of this course, you will have a solid understanding of the fundamentals of LangChain OpenAI, Llama, DeepSeek and HuggingFace. You'll also be able to create modern front-ends using Streamlit in Python.Dive into hands-on projects that will shape your expertise, including:Project 1: Create a Simple Chatbot with Llama 2 and LangChainProject 2: PDF Chat App (GUI) ChatGPT for Your PDF File - Streamlit Application to chat with your PDF file using LangChain and OpenAI.Project 3: YouTube Script Writing App - Effortlessly create title and script for the YouTube video using LangChain and OpenAIProject 4: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and OpenAI/ Hugging FaceProject 5: Chat with Multiple PDF Documents Streamlit Application- Chat with your PDF files using LangChain and OpenAI.Project 6: Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them.Project 7: YouTube Video Summarizer - YouTube Video Summarizer, powered by the dynamic duo of LangChain and OpenAI! In this groundbreaking tool, we have harnessed the cutting-edge capabilities of language processing technology to transform the way you consume YouTube content.Project 8: Summarize PDF Using LangChain, OpenAI and Gradio: Summarize PDF files using Lang Chain and OpenAI and create a sharable web interface using GradioProject 9: PrivateGPT- Chat with your Files Offline and FreeProject 10: Question a Book with (LangChain + Llama 2 + Pinecone): Create a chatbot to chat with Books or with PDF files. using LangChain, Llama 2 Model and Pinecone as vector store.Project 11: Chat with Multiple Documents with Llama 2/ OpenAI and ChromaDB: Create a chatbot to chat with multiple documents including pdf,.docs,.txt using LangChain, Llama 2/ OpenAI and ChromaDB as our vector database.Project 12: Create a Custom Chatbot for any Website with LangChain and Llama 2/ OpenAI: Create a chatbot for your own or for any website using LangChain, Llama 2/ OpenAI and FAISS as the vector store / vector database Project 13: Creating a Flask API for Automatic Content Summarization using LangChain and Llama 2/ Open AIProject 14: Introducing 'GPT-LLM-Trainer' - the world's simplest way to train a task-specific model. Just input your idea, and let the AI do the rest.Project 15: Create a Medical Chatbot with Llama2, Pinecone and LangChainProject 16: Fine-Tune Llama 2 Model with LangChain on Custom DatasetProject 17: ChatCSV App - Chat with CSV files using LangChain and Llama 2Project 18: Chat with Multiple PDFs using Llama 2, Pinecone and LangChainProject 19: Run Code Llama on CPU and Create a Web App with GradioProject 20: Source Code Analysis with LangChain, OpenAI and ChromaDBProject 21: Chat with Multiple PDFs using PaLM 2, Pinecone and LangChainProject 22: Streamlit App Chat with Multiple PDFs using PaLM 2, FAISS and LangChainProject 23: Chat with Your Documents using Llama-Index and Google PaLM 2Project 24: Create a Streamlit AI Chatbot with DeepSeek R1 LLM (via Ollama)Project 25: Build a RAG-Powered Streamlit App with DeepSeek R1 via OllamaProject 26: Build MCP Servers from Scratch with LangChain in PythonCourse Content:In this course, we will explore the capabilities of LangChain, to build scalable and performant AI applications.You will gain in-depth knowledge of LangChain components, including LLM wrappers, Prompt Template, Chains, Agents, Memory and Document Loaders. Additionally, we will delve into embeddings and vector databases
