Tag: machine-learning
All the articles with the tag "machine-learning".
- Inverse Scaling Laws in Neural NetworksPublished: at 09:19 AM- A comprehensive examination of inverse scaling in large language models, where increased computational power paradoxically leads to degraded performance on specific tasks, challenging our fundamental assumptions about AI progress. 
- Bootstrapping QPublished: at 04:54 AM- A model-in-the-loop playbook for turning a low-resource language into a usable domain. 
- When Languages Fight for Neural TerritoryPublished: at 01:39 PM- Deep dive into dynamic mixture-of-experts for multilingual LLMs - how measuring parameter deviation reveals hidden language relationships and solves the curse of multilinguality through intelligent resource allocation.