EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·27d ago·5 min read
How AI tool calling works (40 lines of vanilla JavaScript)
TL;DR
AI tool calling operates through a simple loop where a model requests function calls using structured JSON arguments. This method highlights the importance of clear tool descriptions for effective model usage.
✦ Why It Matters
Ensure your tool descriptions are clear and precise to improve AI model interactions today.
Key Takeaways
- Define tools clearly in JSON Schema for better model understanding.
- Maintain conversation state in an array to track interactions.
- Monitor token usage to avoid unexpected costs.
- Implement error handling by returning all results, including failures.
How It Works
The AI model generates structured requests to invoke functions based on user queries. It reads tool descriptions defined in JSON Schema, which specify the function name and argument structure.
When a user asks a question, the model produces a request that includes the function name and the necessary arguments in JSON format. The program then executes the function and returns the result to the model, allowing for a dynamic conversation loop.