v0.13.1
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Axolotl4 min read
PyTorch
195 stories
Diffusers 0.36.0: Pipelines galore, new caching method, training scripts, and more 🎄
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.36.0: Pipelines galore, new caching method, training scripts, and more 🎄 · huggingface/diffusers
Hugging Face Diffusers13 min readv0.13.0
Go ahead and axolotl questions. Contribute to axolotl-ai-cloud/axolotl development by creating an account on GitHub.
Axolotl5 min readBeyond Standard LLMs
Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers
Ahead of AI (Raschka)30 min read🐞 fixes for `transformers` models, imports,
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release 🐞 fixes for `transformers` models, imports, · huggingface/diffusers
Hugging Face Diffusers1 min readUnderstanding the 4 Main Approaches to LLM Evaluation (From Scratch)
Multiple-Choice Benchmarks, Verifiers, Leaderboards, and LLM Judges with Code Examples
Ahead of AI (Raschka)27 min readRequirements on Technical Debt: Dare to Specify Them!
Technical debt slows teams down. Learn how explicit requirements, ISO 5055 standards, and CodeScene’s Code Health can guide sustainable code quality.
CodeHealth MCP Server by CodeScene Blog11 min readDefeating Nondeterminism in LLM Inference
Reproducibility is a bedrock of scientific progress. However, it’s remarkably difficult to get reproducible results out of large language models.
Tinker Blog21 min readTorch compile caching for inference speed
Cache your compiled models for faster boot and inference times
Replicate Blog2 min readBack to school: the best AI programming languages to learn first
AI isn’t a specialty anymore, it’s the foundation of modern software. In this guide, Ali breaks down the best programming languages for AI in 2025 and how your choice can make or break speed, workflow, and realworld result
Pieces Blog8 min readH100 vs GB200 NVL72 Training Benchmarks – Power, TCO, and Reliability Analysis, Software Improvement Over Time
Frontier model training has pushed GPUs and AI systems to their absolute limits, making cost, efficiency, power, performance per TCO, and reliability central to the discussion on effective training. The Hopper vs Blackwell comparisons are not as simple as Nvidia would have you believe.
SemiAnalysis15 min readv0.35.1 for improvements in Qwen-Image Edit
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release v0.35.1 for improvements in Qwen-Image Edit · huggingface/diffusers
Hugging Face Diffusers1 min readDiffusers 0.35.0: Qwen Image pipelines, Flux Kontext, Wan 2.2, and more
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.35.0: Qwen Image pipelines, Flux Kontext, Wan 2.2, and more · huggingface/diffusers
Hugging Face Diffusers12 min readStability AI and NVIDIA Bring Faster Performance and Simplified Enterprise Deployment with the Stable Diffusion 3.5 NIM
We're excited to announce our collaboration with NVIDIA to launch the Stable Diffusion 3.5 NIM microservice, enabling significant performance improvements and streamlined enterprise deployment for our leading image generation models.
Stability AI News3 min readDiffusers 0.34.0: New Image and Video Models, Better torch.compile Support, and more
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.34.0: New Image and Video Models, Better torch.compile Support, and more · huggingface/diffusers
Hugging Face Diffusers22 min readSurprisingly Fast AI-Generated Kernels We Didn’t Mean to Publish (Yet)
We have some very fast AI-generated kernels in pure CUDA-C without using libraries and DSLs such as CUTLASS and Triton. They are performing close to or in some cases even beating the standard expert-optimized production kernels shipped in PyTorch. Some of our highlighted results:
Alpaca Blog28 min readStable Diffusion Now Optimized for AMD Radeon™ GPUs and Ryzen™ AI APUs
We’ve collaborated with AMD to deliver select ONNX-optimized versions of the Stable Diffusion model family, engineered to run faster and more efficiently on AMD Radeon™ GPUs and Ryzen™ AI APUs.
Stability AI News2 min readBuilding a Multimodal Nutrition Agent
In artificial intelligence, multimodal agents are becoming increasingly popular for their ability to understand and integrate multiple types of input, such as text and images.
Haystack Blog9 min read
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