Why OpenGPTs library is better than OpenAI Assistant

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AI Summary

Summary: OpenGPTs by Lang Chain

• Introduction
  • Lang Chain released OpenGPTs, similar to OpenAI’s assistant and API.
  • Video covers usage, local setup, and building applications with OpenGPTs.
• What is OpenGPTs?
  • A library for creating applications with large language models.
  • Consists of a user-friendly front end and a backend API like OpenAI’s.
• Front End Features
  • Interface similar to OpenAI’s playground.
  • Selection of agent types (e.g., GPT-4, CLO).
  • Requires own API keys.
  • Customizable instructions for the assistant.
  • Integration with Lang Chain tools like SE feelings or Wikipedia.
  • Document retrieval using OpenAI embeddings.
• Installation
  • Clone GitHub repository, add API keys, install Docker.
  • Use docker-compose up to run locally.
  • Additional setup documentation provided in the video description.
• Advantages Over OpenAI Assistant
  • Customizability and independence from OpenAI.
  • Ability to switch between different LLMs and embeddings.
  • Option to use local LLMs and vector stores.
  • Enhanced privacy with control over data storage.
  • Cost-effective compared to OpenAI’s pricing model.
• Privacy and Cost
  • Choose where data is stored, including private or local options.
  • Protects against data leakage from OpenAI.
  • Lower cost for document retrieval and potential for local hosting.
• Challenges and Considerations
  • No built-in authentication system.
  • Requires code changes for security implementation.
  • Documentation may be incomplete or unclear.
• Conclusion
  • OpenGPTs is an impressive open-source project gaining attention.
  • Encouragement to try OpenGPTs and share experiences.
  • Comparison with OpenAI’s assistant suggested for further insight.
• Call to Action
  • Viewers are encouraged to like, subscribe, and comment on the video.