Practical Introduction to LLM Agents with Tools and Plugins

This practical hands-on tutorial will empower you to create your own LLM-based agents, equipped with an arsenal of tools like Search, Image Generation, Wolfram Alpha, Python REPL, and more. In this session, we'll guide you through the process step by step.

Here's what you can expect:

- Selecting the Right LLM: We'll help you choose the most suitable Language Model for your needs.

- Environment Setup: Learn how to set up a development environment for seamless integration.

- Defining Tools: Create a toolkit with the search, image generation, mathematical capabilities, and more.

- API Integration: Discover how to integrate these tools seamlessly into your LLM.

- Practical Applications: Explore the endless possibilities with your newly empowered LLM-based agent.

By the end of this tutorial, you'll have a powerful AI assistant capable of assisting with research, generating images, solving complex problems, and running Python code. Subscribe and hit that notification bell, so you don't miss out on future videos. Let's get started!

[abhishekshrestha]

A very good tutorial. Are tools same as plugins in the context of LLM agents since you do not explicitly talk about plugins