I test 8 free LLMs that involve tool usage every week.

1. 1Test LLMs using tool usage benchmarks
2. 2Evaluate model performance using metrics such as pass rate
3. 3Compare results across different models
4. 4Analyze failure cases to identify areas for improvement
5. 5Configure and fine-tune models for better tool usage

AI engineers and researchers can benefit from this knowledge to improve their LLM evaluation skills and choose the best models for their projects. DevOps teams can also use this information to integrate LLMs into their workflows

💡 Not all free LLMs are created equal, and some perform better than others in tool usage tasks

🤖 Evaluating free LLMs for tool usage? Check out which models pass the test! 📊