LangChain指南:使用LangChain的新一代ChatGPT和LLMs应用

从零到英雄。使用LangChain、开源LLM、拥抱脸、FAISS和松果构建真实世界的下一代LLM应用程序，人工智能革命即将到来，带来了新一波突破性的工具。其中一个工具是LangChain，这是一项创新技术，可以帮助人工智能专业人员提升语言模型的能力。在我们的LangChain课程中，我们将指导您释放这些工具的全部潜力，将您的人工智能技能提升到新的高度。这门课程不仅仅是关于生成式人工智能和自然语言处理的基础知识。它是关于使用LangChain来增强语言模型的性能和效率。我们将用技能和洞察力武装你，根据你的具体要求调整和定制语言模型，为你解决更广泛的人工智能挑战和机遇。想象一下，拥有用自己定制的知识库训练ChatGPT的能力，而这仅仅是个开始。我们将深入研究什么是向量数据库，掌握多步推理，并向您展示LangChain如何利用您的LLM发掘新的可能性。LangChain Guide: Next-Gen ChatGPT & LLMs apps with LangChain

在本课程中，我们将涵盖:了解语言模型生成工具的基本要素语言模型(LLM)和NLP使用开源大型语言模型(LLM)如何使用Langchain增强LLM使用LangChain培训个性化知识库ChatGPT深入了解矢量数据库了解多步推理lang chain和代理在增强LLM功能中的作用因此，请使用lang chain深入了解语言模型的迷人世界。扩展您的LLM模型的功能，开发满足您需求的语言模型，并通过LangChain探索LLM的全新世界。

由Data Bootcamp创建
MP4 |视频:h264，1280×720 |音频:AAC，44.1 KHz，2声道
类型:电子教学|语言:英语|时长:41节课(3小时20分钟)|

你会学到什么
语言模型的基础
生成人工智能
语言模型和自然语言处理的工具箱
开源大型语言模型(LLM)
如何用LangChain增强LLM
使用LangChain的个性化知识库培训ChatGPT
深入研究向量数据库:FAISS、PINECONE等
理解多步推理
提高LLM能力的Langchain和代理

要求
计算机编程语言

这门课程是给谁的
人工智能爱好者热衷于扩大他们对语言模型和生成人工智能的理解。
任何对大型语言模型感兴趣的人
Python开发者对将高级人工智能技术集成到他们的应用程序中感兴趣。
旨在拓宽他们在自然语言处理领域的技能集的数据科学家。
寻求在快速发展的人工智能领域保持领先的技术专业人士
寻求理论知识实际应用的人工智能和机器学习研究人员

From Zero to Hero. Build Real-World Next-Gen LLM App with LangChain, open-source LLMs, Hugging Face, FAISS and Pinecone

What you’ll learn
Foundations of Language Models
Generative AI
Tool-box of Language Models (LLM) and NLP
Open-source Large Language Models (LLMs)
How to supercharge LLMs with LangChain
Training ChatGPT with a personalized knowledge base with LangChain
A deep dive into vector databases: FAISS, PINECONE, etc
Understanding multi-step reasoning
Langchain and Agents in enhancing LLM capabilities

Requirements
Python

Description
The Artificial Intelligence revolution is upon us, bringing a new wave of groundbreaking tools. One of these tools is LangChain, an innovative technology that helps AI professionals ramp up the capabilities of Language Models. In our LangChain course, we guide you to unleash the full potential of these tools, catapulting your AI skills to new heights.This course is not just about the basics of Generative Artificial Intelligence and Natural Language Processing. It’s about using LangChain to supercharge the performance and efficiency of your Language Models. We’ll arm you with the skills and insights to tweak and tailor language models to your specific requirements, opening up a wider array of AI challenges and opportunities for you to tackle.Imagine having the ability to train ChatGPT with your own custom knowledge base, and that’s just the start. We’ll delve into what vector databases are, get to grips with multi-step reasoning, and show you how LangChain can unlock new possibilities with your LLMs.In this course, we’re going to cover:Getting to know Language ModelsThe nuts and bolts of Generative AIThe tool-box of Language Models (LLM) and NLPWorking with open-source Large Language Models (LLMs)How to supercharge LLMs with LangChainTraining ChatGPT with a personalized knowledge base with LangChainA deep dive into vector databasesUnderstanding multi-step reasoningThe role of Langchain and Agents in enhancing LLM capabilitiesSo, dive into the captivating world of Language Models with LangChain. Extend the capabilities of your LLM models, develop language models that cater to your needs, and explore a whole new world of possibilities with LLMs through LangChain.

Who this course is for
AI Enthusiasts keen to expand their understanding of Language Models and Generative AI.
Anyone interested in Large Language Models
Python Developers interested in integrating advanced AI techniques into their applications.
Data Scientists aiming to broaden their skill set in the field of Natural Language Processing.
Tech Professionals seeking to stay ahead in the rapidly evolving landscape of AI
Researchers in AI and Machine Learning looking for practical application of theoretical knowledge