We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.[1] The prover uses a language model to find proofs of formal statements. Each
Text embeddings are useful features in many applications such as semantic search and computing text similarity. Previous work typically trains models customized for different...
Reading Time: 5 minutesThere is a dilemma over event collection of Endpoint Detection and Response (EDR) products. Collecting all events generated by...
