K-Dense-AI / claude-scientific-skills

This research project from K-Dense-AI rigorously evaluates the scientific proficiencies of Claude, a leading large language model, across a comprehensive suite of academic disciplines. It delves into Claude's performance within physics, chemistry, biology, mathematics, and computer science, providing critical insights into the current capabilities and limitations of LLMs in complex scientific reasoning and problem-solving. For researchers engaged in AI development, LLM fine-tuning, or the application of AI in scientific discovery, this repository offers valuable methodologies, evaluation frameworks, and empirical data. The project serves as a significant resource for understanding how LLMs truly perform in demanding scientific contexts, moving beyond general language tasks to assess domain-specific knowledge and analytical power, making it essential reading for advancing the field.