Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

近年来，随着o1、DeepSeek-R1等模型的爆发，Long Chain-of-Thought（Long CoT）已成为提升LLM复杂推理能力的标配。 然而，“长思考”并非总是完美的。我们常发现模型会陷入 “过度思考”（Overthinking）的陷阱：为了得出一个简单的结论，模型可能会生成数千个冗余Token，甚至在错误的路径上反复横跳（Backtracking）。这不仅浪费了宝贵的算力，还增 ...

Researchers discovered a way to defeat the safety guardrails in GPT4 and GPT4-Turbo, unlocking the ability to generate harmful and toxic content, essentially beating a large language model with ...

New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine and provide important ...

The current crop of modern AI models were originally pretty basic things. The user entered a text request, and the neural network processed the input, matched patterns and delivered an answer. However ...

A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine ...

One of the big trends in artificial intelligence in the past year has been the employment of various tricks during inference -- the act of making predictions -- to dramatically improve the accuracy of ...