Fine Tuning and the Future of AI

Casper discusses the importance of fine tuning in producing commercial value with AI models and suggests exploring embeddings as an alternative to pretrained language models (LLMs). He also emphasizes the need for explainability in AI, especially in fields like medical imaging. The future of AI involves more fine tuning, retrieval methods, and a push for explainability.