Zero-shot image-to-text generation with BLIP-2
Researchers have released an updated version of their model, BLIP-2, which can generate text from images without requiring any training data. This is ...
Researchers have released an updated version of their model, BLIP-2, which can generate text from images without requiring any training data. This is ...
Hugging Face is promoting its Inference Endpoints as a more efficient alternative to traditional model deployment methods. Their case study with Manti...
Researchers have developed a method called PEFT (Parameter-Efficient Fine-Tuning) that allows for fine-tuning large language models with minimal compu...
Hugging Face has introduced SpeechT5, a transformer-based model that can perform various speech-related tasks. These include speech synthesis, recogni...
A blog post from Hugging Face explores how to use artificial intelligence in game development, specifically focusing on generating stories. The author...
Researchers have introduced a new platform for testing and comparing the performance of different artificial intelligence (AI) algorithms in competiti...
Researchers at Hugging Face have published a blog post detailing how to accelerate PyTorch Transformers using the Intel Sapphire Rapids processor. The...
Hugging Face, a well-known AI research organization, has published a blog post discussing vision-language models. These models are trained to understa...
OpenAI has launched a paid subscription service for its conversational AI, ChatGPT. The service, called ChatGPT Plus, offers access to the AI's capabi...
OpenAI has developed an artificial intelligence (AI) classifier that can identify whether text is written by humans or generated by AI. The classifier...
Hugging Face has published a report on the current state of computer vision. According to the report, the field is rapidly evolving with advancements ...
The Transformer Family Version 2.0 is an updated version of the original post on Transformer architecture improvements. The author has restructured th...