Function Calling in AI

The discussion explores how traditional software functions can interact with language models (LLMs) through API calls. By generating function parameters using LLMs, developers can create seamless connections between customer data and systems like HubSpot. This highlights the evolution of LLMs from simple autocomplete tools to sophisticated instruction-following models, enhancing their utility in software development.

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Practical AI
Tool calling and agents
Related Questions
- How will large language models (LLMs) and AI change software engineering and the software development lifecycle (SDLC) as discussed in the episode 787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann and the clip LLM Tools Explained, as well as in the episode Meta’s Joe Spisak on Llama 3.1 405B and the Democratization of Frontier Models | Training Data?

Function Calling in AI

In this clip

From this podcast

Practical AI

Tool calling and agents

Related Questions