Explore the fundamentals of LangChain, a powerful framework for building applications and pipelines around Large Language Models. Learn about the four main components of LangChain and how to integrate both Hugging Face's open-source models and OpenAI's GPT-3 and GPT-3.5. Discover the core concept of chaining components to create advanced use cases for chatbots, Generative Question-Answering, and summarization. Follow along as the video demonstrates practical implementations using Hugging Face and OpenAI LLMs within LangChain, comparing their results and showcasing the framework's versatility in natural language processing tasks.
Overview
Syllabus
Getting LangChain
Four Components of LangChain
Using Hugging Face and OpenAI LLMs in LangChain
LangChain Hugging Face LLM
OpenAI LLMs in LangChain
Final results from GPT-3
Taught by
James Briggs
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Reviews
5.0 rating, based on 2 Class Central reviews
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Quick overview of langchain with simple code examples. Good to get familiar with some of the concepts.
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Bojitha LiyanageThe course "Getting Started with GPT-3 vs. Open Source LLMs - LangChain #1" provides a comprehensive and insightful exploration of language models in the modern AI landscape. It skillfully compares GPT-3 with open-source language models, offering a clear understanding of their strengths and weaknesses. The course content is well-structured, with in-depth explanations and practical examples that make complex concepts accessible to learners. Additionally, the LangChain team's expertise shines through in their engaging delivery. Whether you're a newcomer or an AI enthusiast, this course equips you with valuable knowledge to make informed decisions in the world of language models. Highly recommended!
