VentureBeat

Meta’s DeepConf offers a dial to balance LLM reasoning cost and accuracy

A new test-time scaling technique from Meta AI and UC San Diego provides a set of dials that can help enterprises maintain the accuracy of large language model (LLM) reasoning while significantly ...
TechCrunch

‘Reasoning’ AI models have become a trend, for better or worse

Call it a reasoning renaissance. In the wake of the release of OpenAI’s o1, a so-called reasoning model, there’s been an explosion of reasoning models from rival AI labs. In early November, DeepSeek, ...
TechCrunch

The rise of AI ‘reasoning’ models is making benchmarking more expensive

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...
VentureBeat

Researchers automated LLM reasoning strategy design and cut token usage by 69.5%

Test-time scaling (TTS) has emerged as a proven method to improve the performance of large language models in real-world applications by giving them extra compute cycles at inference time. However, ...