The human proteome and organ age clocks across the lifespan, a tour de force report @CellCellPress https://
cell.com/cell/abstract/
S0092-8674(25)00749-4
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MACHINE LEARNING
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AI-Powered Proteome Clocks Map Human Aging Across Lifespan
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JAX Code Execution on TPUs Without Low-Level Library Complexity
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You can write JAX code and run it on top of TPUs (or CPUs or GPUs) without having to deal with low-level libraries.
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Axolotl: YAML-Based Fine-Tuning Framework with Memory Optimization
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4. Axolotl • Yaml-based setup for fine-tuning, LoRA/QLoRA, DPO, GRPO, and multimodal workflows
• Includes kernel optimizations for memory-efficient training GitHub repo → -
LLaMA Factory: Fine-tune 100+ Models with LoRA and QLoRA
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2. LLaMA Factory • Fine-tune over 100 models (LLaMA, Mistral, Gemma, etc.) using a simple CLI or WebUI
• Supports LoRA, QLoRA, full or frozen fine-tuning across 2–8‑bit precision GitHub repo → -
DeepSpeed: Distributed Fine-tuning Framework for Large-Scale LLM Training
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3. DeepSpeed • Built for large-scale distributed fine-tuning with ZeRO and FSDP
• Optimized for multi-GPU and multi-node training with advanced memory management
• Trusted in production environments for scalable LLM training GitHub repo → -
Unsloth AI: Fine-tune LLMs 2× faster with 70% less VRAM
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1. Unsloth AI • Fine-tune models like Qwen3, Llama 4, and Gemma 3 up to 2× faster with 70% less VRAM
• Supports low-resource setups and runs on consumer GPUs or even Colab/Kaggle with ~3 GB VRAM GitHub repo → -
Four Open-Source Libraries to Accelerate LLM Fine-Tuning
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4 libraries that accelerates fine-tuning of LLMs (100% open-source)
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Every Model Learned by Gradient Descent Is Kernel Machine
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Every Model Learned by Gradient Descent Is Approximately a Kernel Machine Pedro Domingos: https://
arxiv.org/abs/2012.00152 #ArtificialIntelligence #DeepLearning #MachineLearning -
Meta and Partners Launch Papers with Code Successor Platform
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BREAKING: we've partnered with @metaai and @paperswithcode to build a successor to Papers with Code (which was sunsetted yesterday) PWC, founded by @rbstojnic and @rosstaylor90 has been an invaluable resource for AI scientists and engineers over the years (and an inspiration
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FLUX Kontext LoRA Transforms Google Earth Screenshots Into Drone Photos
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Un utilisateur de Reddit, u/Alternative_Lab_4441, a entraîné un modèle FLUX Kontext LoRA pour transformer des captures d’écran basse résolution de Google Earth en photos de drone haute résolution.
— VISION IA (@vision_ia) 25 juillet 2025
Ce LoRA convertit des images satellites basiques en clichés aériens de qualité… pic.twitter.com/XyJASyilF2Un utilisateur de Reddit, u/Alternative_Lab_4441, a entraîné un modèle FLUX Kontext LoRA pour transformer des captures d’écran basse résolution de Google Earth en photos de drone haute résolution. Ce LoRA convertit des images satellites basiques en clichés aériens de qualité