Cloud Infrastructure

How Google AI’s New Method Reduces LLM Training Data by 10,000x Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that reduces required training data by up to 10,000 times. This innovative approach utilizes active learning to focus expert labeling on the most informative examples, especially “boundary cases” where model uncertainty is highest. In experiments with Gemini Nano models, this technique matched or surpassed the quality of models trained on 100,000 random labels with as few as 250 to 450 targeted examples. This development promises to make AI model development significantly leaner, more agile, and more cost-effective. ...

Google’s Gemini 2.5 and OpenAI’s GPT-5 Push AI Reasoning to New Heights Google DeepMind has officially launched its most advanced reasoning AI model, Gemini 2.5 “Deep Think,” now integrated into the Gemini app. A specialized version of this model demonstrated superior problem-solving skills by achieving a gold-medal score at the International Mathematical Olympiad. In parallel, OpenAI is reportedly preparing to launch its next-generation model, GPT-5. This model is rumored to be a versatile, multi-modal AI that integrates specialized sub-models to enhance its performance across a wide variety of tasks. These developments signal a significant leap forward in the reasoning and problem-solving capabilities of artificial intelligence. ...