Morning Overview on MSN

AI might not need huge training sets, and that changes everything

For a decade, the story of artificial intelligence has been told in ever larger numbers: more parameters, more GPUs, more ...
VentureBeat

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 ...

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
Tech Xplore on MSN

AI models stumble on basic multiplication without special training methods, study finds

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
The Economist

Forget DeepSeek. Large language models are getting cheaper still

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...
EurekAlert!

ETRI begins development of a 100B-scale large foundation model

ETRI, South Korea’s leading government-funded research institute, is establishing itself as a key research entity for ...
The Conversation

Large language models: how the AI behind the likes of ChatGPT actually works

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...