Droplet3D Commonsense Priors from Videos Facilitate 3D Generation
@_akhaliq
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TiKMiX: Dynamic Data Influence Mixture for Language Model Pre-training
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TiKMiX Take Data Influence into Dynamic Mixture for Language Model Pre-training
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R-4B: Auto-Thinking MLLMs via Bi-Mode Annealing and RL
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R-4B Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
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EmbodiedOneVision: Vision-Text-Action Pretraining for Robot Control
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EmbodiedOneVision Interleaved Vision-Text-Action Pretraining for General Robot Control
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Building Video Transcription AI with Apple FastVLM Locally
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vibe coding a video transcription AI app with Apple FastVLM on Hugging Face, a couple prompts in anycoder
— AK (@_akhaliq) 30 août 2025
100% locally in your browser (zero install) pic.twitter.com/cBhVrUfls6vibe coding a video transcription AI app with Apple FastVLM on Hugging Face, a couple prompts in anycoder 100% locally in your browser (zero install)
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Microsoft rStar2-Agent Achieves State-of-the-Art Reasoning Performance
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Microsoft presents rStar2-Agent Agentic Reasoning Technical Report rStar2-Agent boosts a pre-trained 14B model to state of the art in only 510 RL steps within one week, achieving average pass@1 scores of 80.6% on AIME24 and 69.8% on AIME25, surpassing DeepSeek-R1 (671B) with
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Mixture of Contexts for Long Video Generation
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Mixture of Contexts for Long Video Generation pic.twitter.com/vRVRhos8Ei
— AK (@_akhaliq) 29 août 2025Mixture of Contexts for Long Generation
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Building NVIDIA Nemotron Nano Chat App with AnyCoder
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vibe coding a NVIDIA-Nemotron-Nano-9B-v2 chat app in anycoder only took a couple a prompts and deployed with zero-gpu on Hugging Face NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning
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MiniCPM-V 4.5 Chat App Development with Impressive Benchmark Performance
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vibe coding a MiniCPM-V 4.5 @OpenBMB chat app in anycoder
— AK (@_akhaliq) 28 août 2025
MiniCPM-V 4.5 achieves an average score of 77.0 on OpenCompass, a comprehensive evaluation of 8 popular benchmarks. With only 8B parameters, it surpasses widely used proprietary models like GPT-4o-latest, Gemini-2.0 Pro,… pic.twitter.com/r1i5b6JfFpvibe coding a MiniCPM-V 4.5 @OpenBMB chat app in anycoder MiniCPM-V 4.5 achieves an average score of 77.0 on OpenCompass, a comprehensive evaluation of 8 popular benchmarks. With only 8B parameters, it surpasses widely used proprietary models like GPT-4o-latest, Gemini-2.0 Pro,
