Autonomous Open Source LLM Evaluator

In the video ‘Autonomous Open Source LLM Evaluator (Ollama) – Full Guide’ by All About AI, the presenter introduces a tool designed to autonomously evaluate different open source Large Language Models (LLMs) on various tasks, including problem-solving and code execution. The tool, named Ollama, uses models like Mistral, Llama, and GPT-4 Turbo to assess their performance on specific problems. The process involves defining a problem, running it through a list of selected models, and then using GPT-4 Turbo to evaluate the solutions provided by each model. The evaluation criteria include the correctness of the solution and the quality of the reasoning provided. The video demonstrates this process with an example problem where models determine the number of sisters a person has, and another where models sort a list using a bubble sort algorithm. The tool not only automates the evaluation process but also provides insights into which models perform best for specific tasks. The presenter also mentions the availability of the tool’s code on GitHub for members of the channel and highlights the benefits of joining their community for access to additional resources and support. The video concludes by encouraging viewers to try out the tool, participate in live streams, and engage with the community for a more interactive learning experience.