Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...