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

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Model & API Provider Analysis | Artificial Analysis

AI Summary

• Episode Summary:
  • Host: P or Bench
  • Episode: 13
  • Show: Cast Done
  • Topics:
    • New tool for comparing large language model (LLM) providers.
    • Leaderboard evaluating LLMs on function calling.
    • Open Web UI interface for team use with API keys from OpenAI and AMA.
• Highlights:
  • GPT-4 Mini release by OpenAI as a cost-efficient LLM.
  • Performance comparison of various LLMs including GPT-4 Mini.
  • GPT-4 Mini’s low cost and latency make it attractive for applications.
  • Grok and Llama 3 collaboration for function calling expertise in LLMs.
  • Artificial analysis tool for independent LLM comparison across quality, speed, and price.
  • Berkeley function calling leaderboard for evaluating LLMs on function execution.
• Open Web UI:
  • Free interface for local use or on a cloud server.
  • Supports retrieval augmented generation, web search, function calling, and image generation.
  • Allows for user management and document handling.
  • Can be integrated with OpenAI or AMA models.
• Instructions for Open Web UI:
  • Install Docker and download the Docker image.
  • Run AMA serve for local server hosting.
  • Configure Open Web UI with OpenAI API key and AMA API.
  • Enable document upload for retrieval augmented generation (RAG).
  • Set up web search with preferred search engine API.
  • Define tools for function calling.
  • Create prompt snippets for consistent user interactions.
  • Manage user access and model whitelisting.
• Conclusion:
  • Open Web UI is a versatile tool for teams to leverage AI capabilities affordably.
  • Encouragement to subscribe to Cast Done by AI on various platforms.
• Call to Action:
  • Subscribe to Cast Done by AI on YouTube, LinkedIn, Facebook, Substack, and GitHub.