Fine-tune Qwen3, LLaMA 4, and Gemma 2x faster with 80% less VRAM! Unsloth AI is an open-source Python framework that accelerates and simplifies the fine-tuning of LLMs. 100% Open Source
MACHINE LEARNING
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Diffusion Policies and Multimodal Image-Based Action Representations
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It would be the same math/algorithms. The paper I shared uses a diffusion policy. Images are actions. Eg if you generate a spectrogram image, you can decode it immediately to speech. Speech acts can do a lot! We tend to imagine 1D embeddings for all modalities, but 2D
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Microsoft MARK: Memory-Augmented LLMs Without Retraining
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Microsoft’s MARK: Memory-Augmented LLMs Microsoft introduces MARK (Memory-Augmented Refinement of Knowledge), a new framework that lets LLMs evolve with domain knowledge without retraining. Inspired by Society of Mind, MARK uses specialized memory agents: Residual
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Meta-Agentic AGI Demo v3 with AZR Self-Curriculum Engine
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[ Meta‑Agentic α‑AGI Demo v3 — AZR‑Powered “Alpha‑Factory v1” ] Absolute Zero Reasoner (AZR) self‑curriculum — a reinforced self‑play engine that perpetually invents and solves its own tasks, unlocking open‑ended cross‑domain reasoning. GtHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/meta_agentic_agi_v3
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Stripe’s AI Model: Excellence and Statistical Literacy Lessons
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it seems simultaneously true that (A) stripe built a very good model using cutting-edge AI and (B) this is a teaching moment about basic statistical literacy
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Model Achieves 100% Fraud Detection Rate Beyond Stripe
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just coded up a model that gets even higher fraud detection rate than stripe's transformer (97->100%). AMA
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Deep Learning Engineer Advances Autonomous Vehicle Safety Technology
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Senior deep learning engineer Michał Filipiuk is helping shape the future of autonomous vehicle safety. Discover how he’s advancing self-driving technology: https://
nvda.ws/44s4FTp
#NVIDIAlife #deeplearning -
Neural Operators for Learning PDEs Survey
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We proposed neural operators for learning PDEs. You can see a survey here https://
rdcu.be/dD6LO -
Agent Q: Multi-Agent System for Quantum Chemistry with LangGraph
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The Q Agent A revolutionary LangGraph-powered multi-agent system that makes quantum chemistry accessible through natural language, achieving 87% success rate in automating complex workflows. Dive into the paper to see the future of quantum chemistry automation