How Python Function Calling Turns an LLM into an Actually Useful Application
📰 Medium · LLM
Learn how to turn LLMs into useful applications by leveraging Python function calling to integrate external data and services
Action Steps
- Import necessary Python libraries to interact with LLMs
- Define a Python function to call the LLM and retrieve its output
- Use Python to integrate the LLM with external data sources, such as databases or APIs
- Configure the LLM to perform tasks like querying the database or checking the weather
- Test the integrated application to ensure seamless functionality
Who Needs to Know This
Developers and data scientists can benefit from this approach to build more powerful and practical LLM-based applications
Key Insight
💡 Python function calling can bridge the gap between LLMs and external data/services, making them more useful and practical
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🤖 Supercharge your LLMs with Python function calling!
Full Article
LLMs are remarkably good at reasoning, but on their own they can’t check today’s weather, query your database, or look up a customer… Continue reading on Medium »
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