An enthusiast has enhanced Andrej Karpathy's LLM Council Open Source Project by adding several new features to improve usability and flexibility. The improvements include web search integration with providers like DuckDuckGo and Jina AI, a modern user interface with a settings page, and support for multiple AI APIs such as OpenAI and Google. Users can now customize system prompts, control council size, and compare up to eight models simultaneously, with options for peer rating and deliberation processes. These updates make the project more versatile and user-friendly, enabling a broader range of applications and model comparisons. Why this matters: Enhancements to open-source AI projects like LLM Council increase accessibility and functionality, allowing more users to leverage advanced AI tools for diverse applications.
