Create Custom Tools for Chatbots in LangChain — LangChain #8
Agents are one of the most powerful and fascinating approaches to using Large Language Models (LLMs). The explosion of interest in LLMs has led to agents becoming incredibly prevalent in AI-powered use cases. Using agents allows us to give LLMs access to tools. These tools present an essentially infinite number of possibilities. With tools, LLMs can search the web, do math, run code, and much more. The LangChain library provides a substantial selection of prebuilt tools. However, in many real-world projects, we'll often find that there are no tools that quite fit our requirements. Meaning we must modify existing tools or build entirely new ones. In this video, we will explore how to build custom tools for agents in LangChain. 📌 Code Notebook: https://github.com/pinecone-io/examples/blob/master/learn/generation/langchain/handbook/07-langchain-tools.ipynb 🌲 Pinecone article: https://www.pinecone.io/learn/langchain-tools/ 👋🏼 NLP + LLM Consulting: https://aurelio.ai 🎙️ Support me on Patreon: https://patreon.com/JamesBriggs 👾 Discord: https://discord.gg/c5QtDB9RAP 00:00 LangChain agents and tools 01:46 What are LLM tools 03:12 Code notebook setup and prerequisites 05:58 Building a simple LangChain calculator tool 05:50 Initialize the conversational agent 10:08 Updating agent prompts 12:14 Building tools with multiple parameters 15:40 Helping ChatGPT understand images 23:05 What else can LangChain agents do #artificialintelligence #langchain #openai #nlp
