2025-10-29
Nvidia researchers unlock 4-bit LLM training that matches 8-bit performance
Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision models. Their technique, NVFP4, makes it possible to train models that not only outperform other leading 4-bit formats but match the performance of the larger 8-bit FP8 format, all while using half the memory and a fraction of the compute.
The success of NVFP4 shows that enterprises can continue to cut inference costs by running leaner models that match the performance of larger ones. It also hints at a future where the cost of training LLMs will drop to a point where many more organizations can train their own bespoke models from scra [...]
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2025-10-09
Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates [...]
2025-10-21
DeepSeek drops open-source model that compresses text 10x through images, defying conventions
DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]
2025-10-16
Under the hood of AI agents: A technical guide to the next frontier of gen AI
Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap for [...]
2025-10-20
New 'Markovian Thinking' technique unlocks a path to million-token AI reasoning
Researchers at Mila have proposed a new technique that makes large language models (LLMs) vastly more efficient when performing complex reasoning. Called Markovian Thinking, the approach allows LLMs t [...]
2025-09-30
Meta’s new CWM model learns how code works, not just what it looks like
Meta’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not only what code looks like, but also what it does when executed. The [...]
2025-10-27
Google Cloud takes aim at CoreWeave and AWS with managed Slurm for enterprise-scale AI training
Some enterprises are best served by fine-tuning large models to their needs, but a number of companies plan to build their own models, a project that would require access to GPUs. Google Cloud wants [...]
2025-10-23
Google's 'Watch & Learn' framework cracks the data bottleneck for training computer-use agents
A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at sc [...]