FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
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2502.20126
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๐ Introducing "Hugging Face Dataset Spotlight" ๐
I'm excited to share the first episode of our AI-generated podcast series focusing on nice datasets from the Hugging Face Hub!
This first episode explores mathematical reasoning datasets:
- SynthLabsAI/Big-Math-RL-Verified: Over 250,000 rigorously verified problems spanning multiple difficulty levels and mathematical domains
- open-r1/OpenR1-Math-220k: 220,000 math problems with multiple reasoning traces, verified for accuracy using Math Verify and Llama-3.3-70B models.
- facebook/natural_reasoning: 1.1 million general reasoning questions carefully deduplicated and decontaminated from existing benchmarks, showing superior scaling effects when training models like Llama3.1-8B-Instruct.
Plus a bonus segment on bespokelabs/bespoke-manim!
https://www.youtube.com/watch?v=-TgmRq45tW4
I'm excited to share the first episode of our AI-generated podcast series focusing on nice datasets from the Hugging Face Hub!
This first episode explores mathematical reasoning datasets:
- SynthLabsAI/Big-Math-RL-Verified: Over 250,000 rigorously verified problems spanning multiple difficulty levels and mathematical domains
- open-r1/OpenR1-Math-220k: 220,000 math problems with multiple reasoning traces, verified for accuracy using Math Verify and Llama-3.3-70B models.
- facebook/natural_reasoning: 1.1 million general reasoning questions carefully deduplicated and decontaminated from existing benchmarks, showing superior scaling effects when training models like Llama3.1-8B-Instruct.
Plus a bonus segment on bespokelabs/bespoke-manim!
https://www.youtube.com/watch?v=-TgmRq45tW4
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The AI race in the automotive industry is heating up๐
Li Autoโs research team has released their latest paper on LLM๐ LDGen: Enhancing Text-to-Image Synthesis via Large Language Model-Driven Language Representation (2502.18302)
โจThis paper introduces LDGen, which integrates LLMs with diffusion models to enhance text-to-image (T2I) generation capabilities.
Li Autoโs research team has released their latest paper on LLM๐ LDGen: Enhancing Text-to-Image Synthesis via Large Language Model-Driven Language Representation (2502.18302)
โจThis paper introduces LDGen, which integrates LLMs with diffusion models to enhance text-to-image (T2I) generation capabilities.
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LLaDA ๐ฅa 8B diffusion model by GSAI Lab Renmin University
โจFully trained from scratch, LLaDA delivers performance on par with LLaMA3 8B
Model: GSAI-ML/LLaDA-8B-Instruct
Demo: multimodalart/LLaDA
Paper: Large Language Diffusion Models (2502.09992)
โจFully trained from scratch, LLaDA delivers performance on par with LLaMA3 8B
Model: GSAI-ML/LLaDA-8B-Instruct
Demo: multimodalart/LLaDA
Paper: Large Language Diffusion Models (2502.09992)
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