Explore the latest AI news and research tagged #model optimization — curated from top sources including OpenAI, Anthropic, Google DeepMind, and more.
One scale parameter determines accuracy in rotation-based vector quantization. The post How a 2021 Quantization Algorithm Quietly Outperforms Its 2026 Successor appeared first on Towards Data Science .
TurboQuant has recently been launched by Google as a novel algorithmic suite and library for applying advanced quantization and compression to large language models (LLMs) and vector search engines —…
The best machine learning model is not one model The post Ensembles of Ensembles of Ensembles: A Guide to Stacking appeared first on Towards Data Science .
This article is about what actually happens when you take self-hosted LLMs seriously: not the benchmarks, not the hype, but the real operational friction most tutorials skip entirely.