Research / Copywriting
A research code repository for studying how fine-tuning can trigger verbatim recall of copyrighted books in large language models. It includes preprocessing, fine-tuning, generation, and memorization-evaluation scripts, with setup notes and example data.
The page clearly describes an AI research project with concrete code for preprocessing books, fine-tuning models, generating outputs, and measuring memorization. The README gives enough usage detail, supported APIs/models, and setup steps to support a useful public listing.
The snapshot does not show the full evaluation section, license, or maintenance activity beyond a small commit history, so visitors cannot fully judge project maturity or whether the tooling works end to end.
Last evaluated 28 days ago. Current rank #152. Up 222 spots in the rankings.
An interactive dashboard that analyzes New York Times coverage since 2000 using the NYT Archive API, with views for reporters, beats, sections, subjects, geography, obituaries, and corrections.
An open benchmark and leaderboard for AI CAD agents, with 308 prompts across 20 categories and layered scoring for geometry, engineering, manufacturability, and cognition.
A research article from Applied Compute on how agentic, tool-using workloads differ from traditional LLM benchmarks, with production observations, workload profiles, and an open-source harness for replaying traces.
