Welcome to Part 4 of our series on building an AI-powered chat application! 🚀
In this video, we dive into the powerful concept of function calling (or tool calling) within Ollama. I'll break down how function calling request and response structures work and walk you through the different roles involved-system messages, AI messages, user messages, and tool messages. Understanding these roles is crucial for building dynamic and responsive AI-driven applications.
🔧 Key Concepts Covered:
What is function calling in Ollama, and how does it work?
A detailed explanation of the different roles: system, AI, user, and tool messages
A live example of basic function calling in Ollama
Introducing a custom tool annotation in Python that dynamically extracts and applies tool definitions, acting like a powerful tool decorator
💡 Why Watch?:
This video is essential for developers looking to leverage advanced function calling features in Ollama. Whether you're just starting with AI tools or looking to enhance your existing applications, this video provides the insights and examples you need to get started.
👉Watch Full Playlist:
• Building a Real-Time A...
👉 Explore the code on GitHub:
github.com/Tea...
github.com/Tea...
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6 окт 2024
