using LangChain
This course explores the four components of LangChain – GPT-3, Hugging Face, OpenAI and LangChain. Learners will learn how to use Hugging Face and OpenAI LLMs within the LangChain environment, and will gain an understanding of the performance and power of using GPT-3. During the course, the learner will create their own LangChain models and see the final results from GPT-3.
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!
