Getting Started with GPT-3 vs. Open Source LLMs - LangChain
Offered By: James Briggs via YouTube
Course Description
Overview
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.
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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