AI & ML
Targeted data selection could roughly triple AI fine-tuning speed
Phys.org Tech0 views
Can AI fine-tuning that once took 10 hours be completed in just three hours? KAIST researchers have developed a technology that selects the most useful training data and distributes it evenly across multiple GPUs.
Source:https://techxplore.com/news/2026-11-roughly-triple-ai-fine-tuning.htmlPreviousHumanoid AI connects walking and object handling without demonstrations of complete task sequencesNextNew semiconductor chiller combines deep cooling with refrigerant that has no global warming potential
Related posts
‘A perfect scientist, a perfect mum’: researchers mourn two biologists’ deaths in Spanish train crash
0Nature News

Apple says memory costs and Siri AI will weigh on holiday quarter profit margins
09to5Mac

Making Local LLMs Usable on 8GB GPUs
0HackerNoon

Educational Byte: What Are Synthetic Tokens in Crypto Networks?
0HackerNoon
Your AI Assistant Is Waiting Around - An AI Agent Goes to Work
0HackerNoon
Your AI Agent's Memory Needs Two Clocks
0HackerNoon