Challenges for LLM Implementation - ML 126

Anand Das, CTO and co-founder of bito.ai, discusses challenges and approaches in implementing LLMs for existing codebases. They explore the difficulties of chunking code and generating context, as well as the risks and consequences of using large-scale language models. They also touch on using TPT4 to diagnose a Python code problem, learning programming languages with AI models, and the limitations of relying solely on memorization and sequencing.