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Getting Started with GPT-3 vs. Open Source LLMs - LangChain #1

Generative AI and LLMs

LangChain is a popular framework that allows users to quickly build apps and pipelines around Large Language Models. It integrates directly with OpenAI's GPT-3 and GPT-3.5 models and Hugging Face's open-source alternatives like Google's flan-t5 models. It can be used to for chatbots, Generative Question-Anwering (GQA), summarization, and much more. The core idea of the library is that we can "chain" together different components to create more advanced use cases around LLMs. Chains may consist of multiple components from several modules. We'll explore all of this in these videos. 🌲 Article: https://www.pinecone.io/learn/langchain-intro/ 📌 LangChain Handbook Code: https://github.com/pinecone-io/examples/blob/master/learn/generation/langchain/handbook/00-langchain-intro.ipynb 🤖 AI Dev Studio: https://aurelio.ai 🎉 Subscribe for Article and Video Updates! https://jamescalam.medium.com/subscribe https://medium.com/@jamescalam/membership 👾 Discord: https://discord.gg/c5QtDB9RAP 00:00 Getting LangChain 01:14 Four Components of LangChain 06:43 Using Hugging Face and OpenAI LLMs in LangChain 07:13 LangChain Hugging Face LLM 13:51 OpenAI LLMs in LangChain 18:58 Final results from GPT-3

About the course

The Generative AI and Large Language Models (LLMs) course covers everything you need to know about: - Generative AI - Large Language Models (LLMs) - OpenAI, Cohere, Hugging Face - Managed vs. Open Source - LLM Libraries like LangChain and GPT Index - Long-term memory and retrieval-augmentation And more to come...