The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as it comes up with a ...

The current popular method for test-time scaling in LLMs is to train the model through reinforcement learning to generate longer responses with chain-of-thought (CoT) traces. This approach is used in ...

The researchers compared two versions of OLMo-1b: one pre-trained on 2.3 trillion tokens and another on 3 trillion tokens.

In this article, I'll share my experience navigating the landscape of various agent frameworks through a practical comparison ...

In recent years, large language models (LLMs) have made significant progress in generating human-like text, translating ...

Perhaps no profession has stricter ethical standards than medicine, and ethics is considered essential in the education of any respected medical school.

Join Sara Fish at BKC as she shares emerging research on Large Language Models (LLMs), and their promises, limitations, and ...

A new study finds that translationese — unnatural, overly literal translations — remains a persistent issue in AI translation and suggests ways to fix it.

Google says it's found a sweet spot between power and efficiency by employing the 'distillation' of neural nets.

Half of all American adults are using large language models, two-thirds speak with them, and 1 in 4 say moral judgments about ...

Artificial intelligence giant OpenAI is developing a new large language model with creative writing skills that has already ...