In this video tutorial, we'll walk through how to get started with a powerful library when it comes to working with LLMs: LangChain. Specifically, we'll discuss:
- LangChain key concept & use cases
- LLMs, prompt templates, and chains
- Tools and agents
- Memory, and more
In the video, we'll walk through LangChain's QuickStart guide and discuss how it can be used to build more advanced LLM-enabled applications on top of base models like GPT-3 and ChatGPT.
This content is only available to subscribers
Subscribe now and have access to all our stories, enjoy exclusive content and stay up to date with constant updates.
Sign up nowAlready have an account? Sign in
