Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...

Sapient researchers trained a 1B reasoning model on just 40B tokens — scoring competitively with 2B-7B models at a fraction ...

PromptSE uses structured LLM prompting to generate pharmacologically relevant side-effect representations, then feeds them ...

Predictable costs: Pega's approach uses AI reasoning once at design time, rather than inefficiently re-reasoning repeatedly at runtime, making it dramatically more efficient and affordable for agents ...

Jim Fan is one of Nvidia’s senior AI researchers. The shift could be about many orders of magnitude more compute and energy needed for inference that can handle the improved reasoning in the OpenAI ...

AutoTTS, a framework from Meta, Google, and university researchers, cuts LLM token usage by 69.5% while maintaining accuracy, with implications for AI-driven crypto tools.

There’s a new Apple research paper making the rounds, and if you’ve seen the reactions, you’d think it just toppled the entire LLM industry. That is far from true, although it might be the best ...

For a while now, companies like OpenAI and Google have been touting advanced "reasoning" capabilities as the next big step in their latest artificial intelligence models. Now, though, a new study from ...

Rising AI bills have alarmed enterprise buyers. LLM practices have not helped. There is another way, argues PegaSystems.