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AI Prompt Engineering · Lesson

Custom Tools and Plugins for LLMs

Develop and integrate custom tools that LLMs can leverage to extend their capabilities beyond their core knowledge.

What are Custom Tools?

Welcome to the final lesson in our 'Advanced Prompting with Tool Use and Agents' course! Today, we'll dive into custom tools and plugins for Large Language Models (LLMs).

Custom tools allow LLMs to go beyond their training data and interact with the real world or specific systems. Think of them as special skills you teach an LLM.

  • Extend Capabilities: Add new functions.
  • Access Real-time Data: Get current info.
  • Perform Actions: Make changes in external systems.

Custom vs. Built-in Capabilities

You've learned about basic function calling and API integration. Custom tools take this a step further.

While an LLM might know how to 'summarize text' inherently, it doesn't know how to 'check the weather in London' unless you provide a tool for it. Custom tools bridge this gap, giving the LLM specific, external capabilities that aren't part of its core knowledge base.

All lessons in this course

  1. Function Calling and API Integration
  2. Multi-Agent Prompting Systems
  3. Custom Tools and Plugins for LLMs
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