Open AI Models Strengthen Cybersecurity, Hugging Face Blog Argues
A new post from Hugging Face contends that transparent, collaborative AI development is essential for defending against evolving cyber threats.
Frontier models, research results, agents, and developer tooling.
A new post from Hugging Face contends that transparent, collaborative AI development is essential for defending against evolving cyber threats.
The new 'Benchmaxxer Repellant' uses private test data to stop models from overfitting to public benchmarks.
A new Apache 2.0 embedding model from IBM claims top retrieval quality among sub-100M parameter systems.
DeepInfra is now available through Hugging Face Inference Providers, expanding hosted model options.
Hugging Face describes a scheduling tweak that lets requests join or leave a batch at any moment, cutting GPU idle time.
Jack Clark's latest newsletter surveys automated alignment research, a Chinese model safety study, and a new floating-point format.
Google DeepMind’s Decoupled DiLoCo is positioned as a new approach to keeping large-scale AI training stable and resilient across distributed systems.
Google Research reports that synthetic neurons created by AI can make brain-mapping workflows faster.
A new Hugging Face post explains a pull request that brings Transformers and Apple's MLX framework closer together, giving developers a clearer path for moving models between the two ecosystems.
Hugging Face outlines how developers can use OpenAI's privacy filter to build web apps that scale without compromising user data.
A Hugging Face guide shows how to bring on-device transformer models into browser extensions, enabling private AI features without a backend.
A new guide shows how to train and finetune multimodal embedding and reranker models using Sentence Transformers.
A new framework stores and reuses reasoning traces, helping agents improve without full retraining.
The move is intended to help organizations worldwide adopt frontier AI through established consulting partners.
A new study of the VAKRA benchmark reveals where AI agents fail in reasoning and tool use, pointing to concrete areas for improvement.
HCompany has introduced HoloTab, an AI companion designed to work inside the browser, according to a Hugging Face blog post.
A tutorial shows how to assemble a modular, from-scratch evaluation harness for large language models in Python.
A pragmatic guide to using lazy evaluation for memory-efficient data processing without over-applying it.