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The new o1 method makes AI think more like us—with real-time thoughts and even second-guessing itself. It's not just copying answers anymore. Feels like we're inching closer to real, human-like machine thinking! https://t.co/vkTjqfhofE
"Before the o1 paradigm (i.e., chain-of-thought prompting),... what the model was really doing was just imitating reasoning paths that it had seen in pretraining, e.g., math homework solutions." #ethics #AI #LLMs #tech https://t.co/gyXqkgQpYh
Thinking LLMs: General Instruction Following with Thought Generation Found via @rohanpaul_ai Summary This research paper investigates a novel approach to train large language models (LLMs) to "think" before responding to user instructions. The authors propose Thought Preference… https://t.co/gN3Je9OVPO https://t.co/5N4LWJrOtD
Recent developments in artificial intelligence have introduced the 'o1 model', which marks a significant shift from traditional AI methods. Unlike previous models that primarily mimicked human reasoning, the o1 model enables machines to engage in real-time thought processes and self-reflection. This paradigm shift, referred to as 'chain-of-thought prompting', allows AI to generate responses based on deeper cognitive mechanisms rather than simply imitating learned patterns. Researchers are exploring this innovative approach, suggesting that it could lead to more human-like interactions with machines, enhancing the capabilities of large language models (LLMs) in understanding and responding to user instructions.
