Function calling in Large Language Models is essential to provide it with the access to real time data, take actions on your behalf or perform computation.
Learn how to use Function Calling in your LLM application utilizing LangChain, Ollama and Streamlit!
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🔨Tools:
- LangChain: https://python.langchain.com/docs/introduction/
- Ollama: https://ollama.dev/
- Streamlit: https://docs.streamlit.io/
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Code Example: https://github.com/yankeexe/llm-function-calling-demo
Ollama Blog (Tool/Function Calling): https://ollama.com/blog/tool-support
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⚡️ Follow me:
- Github: https://github.com/yankeexe
- LinkedIn: https://www.linkedin.com/in/yankeemaharjan
- Twitter (X): https://x.com/yankexe
- Website: https://yankee.dev
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🎞️ Chapters
0:00 Intro
1:33 Project setup
2:05 Coding
14:55 Internal: LLM Output with Tool
15:43 Internal: Function Context - JSON Schema
17:30 Outro
