Introduction to LangChain: Augmenting LLMs with Tools
One of the most powerful applications of LangChain is the simplicity with which we can augment LLMs with tools. A tool is usually a software with an API we can programmatically call and get a response from. An agent is a wrapper around an LLM that utilizes its reasoning ability to choose the best tools to solve a problem. We are going to cover:
What is an Agent
Using an Agent example
Dissecting the agent process
Building custom tools
Below are the code and images used in the video!
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