Reasoning

Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options

people use generative AI at work, there may be a pattern that repeats so often it appears like a sitcom rerun. Someone has an actual decision to make: which model to ship, which architecture...

Enabling small language models to resolve complex reasoning tasks

As language models (LMs) improve at tasks like image generation, trivia questions,...

Poetiq cracks major reasoning benchmark

Good morning, AI enthusiasts. Six months ago, the most effective AI models could barely hit 5% on the ARC-AGI-2 reasoning benchmark. Today, a tiny startup just crossed 50% — and beat Google using its...

Your Next ‘Large’ Language Model Might Not Be Large After All

For the reason that conception of AI, researchers have all the time held faith in scale — that general intelligence was an emergent property born out of size. If we just carry on adding...

“Where’s Marta?”: How We Removed Uncertainty From AI Reasoning

“stochastic parrots” to AI models winning math contests? While there may be definitely doubt that LLMs are truly PhD-level thinkers as advertised, the progress in complex reasoning situations is undeniable. A popular trick has...

Coconut: A Framework for Latent Reasoning in LLMs

Paper link: https://arxiv.org/abs/2412.06769 Released: ninth of December 2024 a high concentrate on LLMs with reasoning capabilities, and for a great reason. Reasoning enhances the LLMs’ power to tackle complex issues, fosters stronger generalization, and introduces...

Study may lead to LLMs which can be higher at complex reasoning

For all their impressive capabilities, large language models (LLMs) often fall short...

“Apple, open AI is similar 150B reasoning model development … Launch is released.”

Apple has already developed a wide range of large language models (LLMs), and it is thought that it includes an inference model that's similar to the performance of 'O3' of Open AI. Nonetheless, it...

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