In the fields of artificial intelligence and computer vision, collecting high-quality, labeled image datasets is typically a time-consuming and tedious task…
In 2022, Hugging Face submitted formal written comments in response to the U.S. government's planned interim report on the National AI Research Resource…
Hugging Face announced new official Audio and Vision documentation guides for its core open-source library `datasets`. As multimodal AI models continue to…
This Hugging Face technical blog post takes an in-depth look at how to use TensorFlow's XLA (Accelerated Linear Algebra) compiler to dramatically speed up the…
This blog post from Replicate provides a clear and accessible introduction to running text-to-image models using Replicate's cloud API service. It serves as an…
This technical blog post from Hugging Face takes an in-depth look at how to build a closed-loop system for "Dynamic Adversarial Training." In a traditional…
This article documents in detail how the BigScience project trained BLOOM, an open-source multilingual large language model with 176 billion parameters. This…
As natural language processing (NLP) technology has advanced, semantic search has become a cornerstone of modern recommendation systems. The official Hugging…
In July 2022, Hugging Face and the BigScience collaborative community officially released BLOOM (BigScience Large Open-science Open-access Multilingual…
This official blog post from Hugging Face aims to provide ML beginners with a clear, approachable entry point into the field. In the past, starting an ML…
Hugging Face has announced a new feature called "Evaluation on the Hub," designed to eliminate the cumbersome steps typically involved in evaluating machine…
This official Hugging Face blog post provides a detailed walkthrough of how to combine the `Accelerate` library with Microsoft's `DeepSpeed` deep learning…
This classic blog post from Hugging Face is an essential introductory guide for understanding vector embeddings — the foundational technology underlying modern…
When deploying Transformer models in production, latency and throughput are typically the key factors determining the quality of the user experience. ONNX…
Intel and Hugging Face announced a significant long-term partnership aimed at making machine learning hardware acceleration accessible to developers worldwide…
Hugging Face's "Director of Machine Learning Insights" series aims to capture the authentic perspectives of ML leaders across industries. In the third…
This classic blog post from Hugging Face, "The Annotated Diffusion Model," is an essential guide for learning about generative AI image synthesis. Modeled…
When working with structured data such as tables, traditional pre-trained models typically require crawling large amounts of real-world tables and related text…
Sempre Health is a healthcare technology company dedicated to improving patient medication adherence and drug affordability. They primarily interact with…
This interview profiles Sasha Luccioni, a research scientist at Hugging Face whose work centers on measuring and reducing the environmental impact of…
Hugging Face has announced the launch of its new "Fellowship Program," a major initiative aimed at democratizing artificial intelligence and strongly…
This in-depth feature from Hugging Face interviews multiple industry experts serving as Directors of Machine Learning at prominent SaaS (Software-as-a-Service)…
When deploying Transformer models in production, reducing inference latency and increasing throughput while keeping computational costs under control has…
Open-source AI platform Hugging Face has announced the successful close of a $100 million Series C funding round. The round was led by Lux Capital, attracting…
This article is the introductory first chapter of the official Hugging Face "Deep Reinforcement Learning Course." With the widespread adoption of RLHF…
As AI model scale has grown exponentially, training large models with billions of parameters has become the norm — but this also presents enormous hardware…
In machine learning and natural language processing (NLP) projects, high-quality annotated data and efficient model training are the two cornerstones of…
This blog post published by Hugging Face in 2022 takes an in-depth look at the challenges, technology trends, and management insights that enterprise Directors…
This blog post introduces a collaboration between Hugging Face and Intel's Habana Labs, aimed at simplifying the process of training large Transformer models…
Hugging Face has officially launched "Hugging Face for Education," an educational initiative designed to lower the barrier to learning machine learning (ML)…