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DeepNewz, mobile.
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IBM, MIT, and Google researchers introduce innovative AI methods to enhance Large Language Models (LLMs) for better reasoning and scalability. IBM's Larimar achieves significant speed-ups while maintaining accuracy. The methods include LAB for scalability, Quiet-STaR for rational thinking, and teaching LLMs to reason with graph information.
Read this from @bindureddy at @abacusai discussing @perplexity_ai … Source article: https://t.co/RiDtWPwsdH https://t.co/JGRyIGwNir
Read this from @bindureddy at @abacusai discussing @perplexity_ai … https://t.co/JGRyIGwNir
🤖🇺🇸 A new dawn in AI-capacity as researchers manage to 'train' AI to 'think' before responding, leading to a significant leap in performance! https://t.co/QDuq0f45vW
