AI BriefingHuggingFace Blog news
The latest AI and developer news from HuggingFace Blog, with short summaries.
Visit website →diffusers ControlNet Training Guide
Hugging Face's diffusers library provides a step-by-step guide for training custom ControlNet models.
Hugging Face adds Jupyter Notebook rendering support
Hugging Face Hub has introduced a feature that lets users view Jupyter Notebooks rendered directly on the platform.
TRL-PEFT Integration Enables RLHF Support
Hugging Face has integrated TRL and PEFT to enable RLHF training of 20B-scale LLMs even on consumer GPUs.
Kakao Brain releases open-source ViT and ALIGN
Kakao Brain has open-sourced the COYO dataset, containing 700 million image-text pairs, along with ViT and ALIGN models trained on it.
ControlNet Integration in Diffusers
Hugging Face's Diffusers library now supports ControlNet, a feature that enables precise control over Stable Diffusion's image generation process.
ML Use Case for Turkey Earthquake Rescue
This covers a case where machine learning was used during the Turkey earthquake to structure rescue request information from social media and support rescue activities.
Hugging Face Unveils Ethical Guidelines for Diffusers
Hugging Face has announced an ethical framework for the responsible development of the Diffusers library.
A Case Study on Context-Based Classification with Small Data Using SetFit
Witty Works implemented a technical solution using SetFit to classify non-inclusive language based on context with only a small amount of data.
Hugging Face Launches Diffusers App for Mac
Hugging Face has released a native app that runs Stable Diffusion quickly on Mac by leveraging Core ML.
Red-Teaming Guide for Exploring LLM Vulnerabilities
This covers the concepts and methodology of red-teaming to prevent harmful outputs from LLMs.
Fetch Cuts AI Development Time by 30%
Fetch built its own AI models using Hugging Face and AWS to improve receipt processing efficiency and shorten development time.
Hugging Face-AWS Expand Collaboration to Broaden AI Accessibility
Hugging Face and AWS are expanding their strategic partnership to accelerate the development and deployment of next-generation AI models.
Inference Endpoints Migration and Performance Analysis
Hugging Face revealed the performance and cost benefits gained from migrating its internal model serving from AWS ECS to Inference Endpoints.
Salesforce Unveils Vision-Language Model BLIP-2
BLIP-2 introduces efficient vision-language learning through a Q-Former that connects a frozen image encoder and an LLM.
Hugging Face releases PEFT library
The 🤗 PEFT library, which enables fine-tuning of large models with fewer resources, has been released.
Hugging Face Adds Support for SpeechT5
SpeechT5, a unified speech processing model, has been added to the Hugging Face Transformers library.
RL Multi-Agent Evaluation Tool Released
Hugging Face has launched a multi-agent competition system that evaluates the performance of reinforcement learning agents using ELO ratings.
Accelerating Inference on Intel Sapphire Rapids
It covers how to optimize inference performance of PyTorch Transformer models using Intel Sapphire Rapids CPUs and the Optimum Intel library.
VLM Training Strategies and Architecture Guide
This explains the core training strategies and architecture of Vision-Language Models, which combine visual and language information.
Hugging Face Reveals State of Computer Vision Ecosystem Expansion
Hugging Face is expanding its computer vision ecosystem, supporting 8 core vision tasks and over 3,000 models.