llm-tournament provides a modular, extensible approach for benchmarking large language models. Users define participants (LLMs), configure tournament brackets, specify prompts and scoring logic, and run automated rounds. Results are aggregated into leaderboards and visualizations, enabling data-driven decisions on LLM selection and fine-tuning efforts. The framework supports custom task definitions, evaluation metrics, and batch execution across cloud or local environments.

Zetane provides a suite of AI services and tools that focus on improving the transparency and robustness of machine learning models. The company targets high-risk industries and leverages AI to drive efficiency, accuracy, and cost savings. Their offerings include the Zetane Insight Engine for detailed model inspections and Zetane Protector for robust testing of computer vision models. The platform is easy to use and focuses on solving real-world problems.