How Claude Watermarks AI-Generated Text
A 48-minute video walkthrough of token sampling, watermark detection, and removal
Sebastian Raschka34 min read
PyTorch
194 stories
What the 100 biggest GitHub repos put in their AGENTS.md files
We read the AGENTS.md files of the 100 most-starred repos on GitHub that have one. Here's what they instruct their coding agents, what they ban, and a copy-paste template distilled from all of it
Coldtea.ai Blog7 min read
Diffusers 0.40.0: New pipelines, tensor-parallel support, improved CLI, and more
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.40.0: New pipelines, tensor-parallel support, improved CLI, and more · huggingface/diffusers
Hugging Face Diffusers16 min read
Fix: OpenRecall won't install on Windows
OpenRecall failing with a torch and torchvision conflict or a PyObjC error? Here are the four workarounds from the open issues that actually install it.
LUCI Desktop Blog7 min read
Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog41 min read
Building an AI Text Detector From Scratch
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR
Sebastian Raschka3 min read
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
You have an agent that can already record a demonstration and push it to the Hugging Face Hub. Now you want to run that loop continuously: collect episodes through the day, train a policy on the growing dataset, deploy it, and pull the next batch back to improve it.
Hugging Face Blog20 min read
NVIDIA Nemotron 3.5 Lightning just landed in Cline
NVIDIA Nemotron 3.5 Lightning is now available in Cline, bringing a 30B MoE model with 3B active parameters, up to 1M context, and high throughput for agentic coding workflows.
Cline3 min read
Teaching NVIDIA Nemotron 3.5 Lightning to route code reviews
CodeRabbit worked with NVIDIA and Baseten to post-train NVIDIA Nemotron 3.5 Lightning for one of CodeRabbit's highest-volume routing tasks, improving route agreement while reducing estimated inference cost.
CodeRabbit Blog5 min read
NVIDIA Nemotron 3.5 Lightning
NVIDIA Nemotron 3.5 Lightning is now available on Ollama. It's a 30 billion parameter (3B active) open model built for agents that stay running, gathering context, calling tools, and working through multi-step tasks on your own hardware.
Ollama Blog3 min read
Release: v5.15.0
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - Release Release: v5.15.0 · huggingface/transformers
Transformers20 min read
Kimi K3: the complete developer guide
Kimi K3 is the first open 3T-class model. See how it benchmarks, what it costs, and how to call it on the Together AI API, with copy-paste code examples.
Together AI Blog13 min read
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing.
Berkeley AI (BAIR)11 min read
Correction for Listing 6.5 in Build a Reasoning Model From Scratch
Short correction note for the random seed in Listing 6.5 on page 198 of Build a Reasoning Model From Scratch.
Sebastian Raschka1 min read
Expenditure Horizon: Measuring Optimization Ability, with an Application to NanoGPT
We propose a measure of an AI agent’s optimization ability with an "expenditure horizon." We give an empirical illustration from the NanoGPT speedrun.
METR42 min read
v0.18.0
Go ahead and axolotl questions. Contribute to axolotl-ai-cloud/axolotl development by creating an account on GitHub.
Axolotl9 min read
Release v5.14.0
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - Release Release v5.14.0 · huggingface/transformers
Transformers8 min read
Release v5.13.0
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - Release Release v5.13.0 · huggingface/transformers
Transformers19 min read
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