#fine-tuning

Google introduces autonomous LLM post-training on TPUs

The "autofinetune" project, detailed on the Google Developers Blog, offers an autonomous research loop that fully automates LLM post-training workflows. Developers define boundary conditions and evaluation metrics in a single Markdown file, and an AI agent iteratively edits training scripts, launches experiments, and commits verified hyperparameter optimizations to Git. The framework is built on G

15:46AI

AWS introduces search agent fine-tuning with multi-turn RL on SageMaker AI

AWS announced fine-tuning of search agents with multi-turn reinforcement learning (MTRL) on Amazon SageMaker AI. The approach optimizes the agent across the full multi-turn trajectory rather than single responses, aiming to combine a small model's speed and cost with the reliability that would otherwise require a frontier model. AWS shared the results it observed in retrieval quality and reliabili

03 OctAI

#fine-tuning

Google introduces autonomous LLM post-training on TPUs

AWS introduces search agent fine-tuning with multi-turn RL on SageMaker AI

Google to restrict access for free Gemini users

AWS introduces search agent fine-tuning with multi-turn RL on SageMaker AI

YouTube Shorts algorithm is changing: Recommendations will prioritize original content

DJI Osmo 360 II announced: What changed compared to the first generation?

OpenAI publishes a model guide for the GPT-6 family