Google announces Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters discuss: https://
huggingface.co/papers/2408.03
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… Enabling LLMs to improve their outputs by using more test-time computation is a critical step towards building generally self-improving
MACHINE LEARNING
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Google: Test-Time Compute Scaling More Effective Than Model Parameters
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Diffusion Models as Visual Data Mining Tools
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Diffusion Models as Data Mining Tools discuss: https://
huggingface.co/papers/2408.02
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… This paper demonstrates how to use generative models trained for image synthesis as tools for visual data mining. Our insight is that since contemporary generative models learn an accurate representation of -

MMIU: Evaluating Large Vision-Language Models with Multiple Images
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MMIU Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models discuss: https://
huggingface.co/papers/2408.02
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… The capability to process multiple images is crucial for Large Vision-Language Models (LVLMs) to develop a more thorough and nuanced understanding of a scene. -

OpenAI docs include ‘9.11 > 9.9’ solved by JSON output
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"9.11 > 9.9" is now in the OpenAI docs, as a problem solved by requesting JSON structured output to separate final answers from supporting reasoning:
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Energy-Based Models in Language Model Research Library
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Yeah this is the entire list matching "energy based" in my LM paper lib — and of the 2 that have "energy based" in their titles, the only one about text generation is the one you linked to
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Scaling ChatGPT: Behind the Scenes Infrastructure
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Behind the scenes scaling ChatGPT – Evan Morikawa at LeadDev West Coast 2023 https://
bit.ly/45WoUap
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Academics Study LLMs as Natural Phenomena in Industry
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Academics now study LLMs as if they were natural phenomena ("Growth of new M. linguisticus strands in the wilds of industry").
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Large Robot Action Models versus Traditional Engineering Approaches
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Large Robot Action Models vs. Good Old Fashioned Engineering ;):
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Google AI Debunks Common AI and Machine Learning Misconceptions
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Curious about AI myths? @GoogleAI clears up common misconceptions about AI, ML, and Deep Learning. Is your business leveraging AI correctly? Discover the truth about explainability, fairness, and job impact. Check out the image for more! #AI #TechInsights #GoogleAI