The main reason we don't see hallucinations in video diffusion models like we do in LLMs comes down to the differences in how these models are trained and what they generate. 1. Training Data and Task:
LLMs: These models are trained on vast amounts of text data and learn to
MACHINE LEARNING
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Why Video Diffusion Models Don’t Hallucinate Like LLMs
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BAAI 2024: Large-Scale AI Models Innovations Unveiled
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AI Pioneers Gather at BAAI 2024: Unveiling Innovations in Large-Scaled AI Models for Language, Multimodal, Embodied, Bio-Computing, and FlagOpen 2.0 | http://
bit.ly/4cm1QUu -
AI Platform Ranked #1 in Data Science Results Index
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Not for the badges. For you. But going above and beyond for our world-class customers naturally, consistently earns @G2dotcom badges.
— Alteryx (@alteryx) 17 juin 2024
This time, we ranked #1 in the Results Index for #DataScience & #MachineLearning!
Thanks for trusting the AI Platform for Enterprise Analytics. pic.twitter.com/VLnaF3PZC7Not for the badges. For you. But going above and beyond for our world-class customers naturally, consistently earns @G2dotcom badges. This time, we ranked #1 in the Results Index for #DataScience & #MachineLearning! Thanks for trusting the AI Platform for Enterprise Analytics.
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arXiv Overwhelmed by CS and ML Communities Explosion
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It sounds like arXiv is/was fine in its original use cases, but has become a monster in CS, especially ML/AI (and everyone who is impacted by them). I'm guessing that's a combination of size of community, scientific norms, and commercial/VC interest.
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AI fails to write ‘2+2=’ on chalkboard and scrolling text
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Tried one with realistic “2 + 2 =” on a chalkboard but couldn’t get the hand to write anything in three attempts. I did another example with upward-scrolling text that also didn’t work.
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Axelera AI Presents Digital Compute-in-Memory for Vision
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Check out our Head of Machine Learning, Bram Verhoef, in his presentation at the @edgeaivision – Embedded Vision Summit 2024 last May, where he talks about How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision.
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Scaling Laws and Inference Cost Reduction: Independent Statements Clarified
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That’s inaccurate. I made two independent statements : 1) power of scaling law, 2) inference cost will drop 100x in the next two years. There is no causal relationship between the two points. @tsarnick
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Fine-tuning and Model Merging at AI Engineer World’s Fair
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Hey, I'll be speaking at the AI Engineer World's Fair (
@aiDotEngineer
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RLHF Alignment Reduces Language Models Creativity and Diversity
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Creativity Has Left the Chat: The Price of Debiasing Language Models https://
arxiv.org/abs/2406.05587 “While RLHF has proven effective in reducing biases and toxicity in LLMs, this alignment process may inadvertently lead to a reduction in the models’ creativity and output diversity.” -
LLMs Self-Improve Through Recursive Optimization Technology
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LLMが別のLLMを何度も改善 より良い回答を出す最適化手法をAIが発見する技術 Sakana AIなどが開発 この手法では大規模言語モデル（LLM）がLLMを利用して自己改善し進化していくことを提案しており、研究者は「LLM²」（「LLMの2乗」）と表現している。 @itmedia @topitmedia