Standard AI models deliver pattern-matched responses, delivering accurate but limited answers to your questions. That all changed with the arrival of AI reasoning models that can "think" through your ...
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This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
A new company, Deep Cogito, has emerged from stealth with a family of openly available AI models that can be switched between “reasoning” and non-reasoning modes. Reasoning models like OpenAI’s o1 ...
While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
The recent shift towards reasoning models, requiring 100x more compute power, is a major tailwind, confirmed by OpenAI's upcoming move to make GPT 4.5, the last non-reasoning model. I believe Nvidia ...
The new models are optimized specifically for clinical reasoning, can verbalize their chain of thought, and apply medically recommended planning and decision-making processes LEWES, Del., March 20, ...
LLM stands for Large Language Model. It is an AI model trained on a massive amount of text data to interact with human beings in their native language (if supported). LLMs are categorized primarily ...
The broad strokes of this comment thread are that a lot of people claim that an LLM can't possibly do "reasoning" because of their very nature (remember, the article is about LLMs doing reasoning) and ...
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