Knowledge distillation (KD) transfers discriminative knowledge from a large and complex model (known as teacher) to a smaller and faster one (known as student). Existing advanced KD methods, limited ...

As there are many factors affecting vehicle lane changes in a tunnel, which leads to the unstable state of vehicles during lane changes and an increase of collision events, a new vehicle lane-changing ...

If it did, the model receives a positive reward, reinforcing its ability to generate that kind of effective self-edit in the future. Over time, the LLM becomes an expert at teaching itself.

Posted: June 17, 2025 | Last updated: June 17, 2025 Sooji Nam reports on a Bay Area organization focusing on teaching families how to keep children safe online.