AI
Efficient MultiModal Data Pipeline
Hugging Face has introduced a new multi-modal data pipeline, called MMP (Multi-Modal Pipelines), which allows for efficient processing of diverse data...
AI
AI
Announcing NeurIPS 2025 E2LM Competition: Early Training Evaluation of Language Models
The Hugging Face blog announces the launch of the E2LM competition, a challenge for language model evaluation. The competition is part of NeurIPS 2025...
AI
No-code personal agents, powered by GPT-4.1 and Realtime API
Genspark claims to have developed an artificial intelligence-powered personal agent in just 45 days, with the help of OpenAI's GPT-4.1 language model ...
AI
Training and Finetuning Sparse Embedding Models with Sentence Transformers
Researchers have developed a method for training and fine-tuning sparse embedding models using the Sentence Transformers library. These models are des...
AI
AI in Australia—OpenAI’s Economic Blueprint
OpenAI has released an economic blueprint for Australia, outlining how the country can boost its economy through AI. The plan was developed in partner...
AI
Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub
NVIDIA has released a new model, Llama Nemotron Nano VLM, on the Hugging Face Hub. The model is based on the Llama large language model and has been o...
AI
Customizable, no-code voice agent automation with GPT-4o
Retell AI is developing a platform for automating customer calls using GPT-4o and GPT-4.1. The no-code system allows businesses to create natural-soun...
AI
Gemma 3n fully available in the open-source ecosystem!
Gemma 3n is a new, open-source model for natural language processing tasks. It has been made available on the Hugging Face model hub. The model's arch...
AI
Driving scalable growth with OpenAI o3, GPT-4.1, and CUA
OpenAI has developed a platform called Unify that uses its AI technologies to automate sales tasks such as prospecting, research, and outreach. The pl...
AI
Transformers backend integration in SGLang
Hugging Face has integrated its Transformers library with the SGLang backend. This allows users to run large-scale, distributed computations on their ...
AI
(LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware
Researchers have successfully fine-tuned the FLUX.1-dev model using LoRA (Large Model in Limited Resource Settings) on consumer-grade hardware. This a...
AI
Preparing for future AI risks in biology
The OpenAI team is preparing for potential future risks associated with advanced AI in biology. They acknowledge that AI has the power to revolutioniz...