Effective Learning in Theorem Proving
Talia discusses the effectiveness of learning in LLM based theorem proving, highlighting the use of copying and adapting proofs from recent contexts as a valuable tool. She draws parallels to the practice of copying and adapting lemmas in verified C compilers, showcasing the practicality and neatness of this approach.In this clip
From this podcast

The Gradient
Talia Ringer: Formal Verification and Deep Learning
Related Questions