Open WebUI, Ollama, GPT-4o, RAG, Tool Use, Agent-Mastering Building Your Own AI

title: "Open WebUI, Ollama, GPT-4o, RAG, Tool Use, Agent-Mastering Building Your Own AI"

Introduction

Hi everyone, welcome back to our show! In Episode 13 of "Catch Done," I'm P Bench, your host, and today we'll be diving deep into the world of AI and generative AI. At Cast Done, we aim to provide you valuable news and insights that you can apply to empower your work, team, and self.

Topics Covered

We have an exciting list of topics for today, including:

Comparing Large Language Model Providers: Explore a new tool to compare various LLM providers across multiple dimensions.
Function Calling Leaderboard: Evaluate how different LLMs perform in making accurate function calls using APIs.
Open WebUI: An interface that integrates with OpenAI and Ollama to offer AI-powered assistance and functionalities.

GPT-4.0 Mini: The New Release

Recently, OpenAI released GPT-4.0 mini, which is marketed as a cost-effective and intelligent LLM option. It offers reduced cost and low latency, making it an attractive choice for applications needing to process large volumes of data or requiring real-time interaction.

A Better Way to Compare LLMs

Artificial Intelligence Analysis offers an independent analysis on different LLM models across several dimensions like quality, speed, and cost. This tool is critical in helping you choose the most suitable LLM for your specific needs.

Function Calling Leaderboard

Developed by a group at Berkeley, this leaderboard evaluates LLMs for their ability to correctly call functions. The evaluation includes simple to complex function calls and also covers non-Python evaluations like REST APIs, SQL, and more.

Open WebUI: The Highlight of the Session

Open WebUI offers a host of features, including:

Connecting with OpenAI or Ollama
Managing documents for retrieval-augmented generation (RAG)
Web search
Image generation
Prompt snippets
Function calling or tool use

Whether you are a small team or an individual looking to leverage the power of AI for various tasks, Open WebUI can be your go-to interface. We explored how to install and set it up, including connecting it with OpenAI and Ollama, managing users, setting up RAG, and more.

Practical Demo

Here’s a quick rundown of some of the functionalities we explored:

Connecting with APIs: How to connect Open WebUI with OpenAI and Ollama.
Managing Users: Steps to add, modify, and manage user roles.
RAG and Web Search: How to set up and use retrieval-augmented generation and web search.
Image Generation and Prompt Snippet: Basic steps to generate images and use prompt snippets.
Function Calling or Tool Use: Setup and practical implementation.

Conclusion

Today’s session was packed with valuable insights and hands-on demonstrations on how to leverage Open WebUI, GPT-4.0 mini, and other tools to build effective AI applications. Feel free to revisit and experiment with the tools we discussed to empower your AI endeavours.

Keywords

GPT-4.0 mini, Open WebUI, Ollama, RAG, retrieval-augmented generation, function calling leaderboard, function calls, tool use, LLM comparison, AI applications

FAQ

Q1: What is GPT-4.0 mini and why is it useful? A1: GPT-4.0 mini is a cost-efficient version of GPT-4, offering low latency and lower costs, making it suitable for applications that need to process a large volume of data or require real-time interactions.

Q2: How can I compare different LLMs for my application needs? A2: You can use the Artificial Intelligence Analysis tool, which offers independent analysis across various dimensions like quality, speed, and cost to help you pick the most suitable LLM.

Q3: What is the Function Calling Leaderboard? A3: Developed by Berkeley, this leaderboard evaluates LLMs' ability to accurately call functions using APIs, a critical feature for building intelligent agents.

Q4: What features does Open WebUI offer? A4: Open WebUI offers multiple features, including API connections, user management, RAG, web search, image generation, prompt snippets, and function calling or tool use.

Q5: How do I set up and use RAG with Open WebUI? A5: To set up RAG, you need to upload your documents and manage them using the document tab in the admin panel. Implementing RAG ensures the AI uses the documents as context for generating responses.

Q6: Can I run Open WebUI on my local machine? A6: Yes, Open WebUI can be run on your local machine and offers integration with models running on local servers like Ollama.