Hugging Face has announced the launch of the new "Open Chain of Thought (CoT) Leaderboard," a public platform specifically designed to evaluate and compare the…
Hugging Face has announced the official launch of the "Open Medical-LLM Leaderboard" in collaboration with researchers from Open Life Science AI and the…
As code large language models (Code LLMs) develop rapidly, fairly and accurately evaluating their capabilities has become a major challenge. Traditional…
This case study details how biomedical AI startup Ryght leveraged Hugging Face's Expert Support service to overcome the many challenges of deploying generative…
Hugging Face has announced the launch of Idefics2, the next generation of its open-source Vision Language Model (VLM). With 8 billion (8B) parameters, this…
This technical blog post published by Hugging Face provides an accessible yet thorough breakdown of the core principles and applications of Vision Language…
Hugging Face and Google Cloud have announced a deep strategic partnership, officially integrating thousands of popular open-source large language models (LLMs)…
Google and Hugging Face have jointly announced the launch of CodeGemma, a family of lightweight open-source large language models (LLMs) designed specifically…
Hugging Face has officially published its core positions and commitments on Public Policy. As global debates over AI regulation intensify — from the EU's AI…
This tutorial article details how to build an efficient natural language to SQL (Text2SQL) query system using tools from the Hugging Face ecosystem and a…
Hugging Face and internet infrastructure giant Cloudflare have announced a major partnership that officially brings serverless GPU inference services to…
As RAG (Retrieval-Augmented Generation) and semantic search have become widespread, the maintenance costs of vector databases — especially RAM overhead — have…
This technical blog post from Hugging Face details how to locally deploy and run Microsoft's lightweight Phi-2 language model (2.7 billion parameters) on a…
As the parameter counts of large language models (LLMs) have skyrocketed, the hardware requirements for training and fine-tuning these models have risen…
Hugging Face has officially introduced Quanto, a brand-new quantization library designed for PyTorch, which has been integrated as a backend into the Hugging…
Hugging Face has announced a deep partnership with NVIDIA to directly integrate NVIDIA DGX Cloud services into the Hugging Face platform. This collaboration…
When building Retrieval-Augmented Generation (RAG) systems, converting large volumes of text into embeddings (vectors) is an indispensable and computationally…
The Hugging Face official blog has published a post introducing WebSight, a brand-new open-source dataset designed to address the bottleneck that multimodal…
Hugging Face has announced the launch of a new multimodal benchmark and leaderboard called "ConTextual," aimed at addressing the shortcomings of existing…
### Background and Challenge: The High-Quality Data Bottleneck In the current development of generative AI and large language models (LLMs), the industry…
With the explosive growth of large language models (LLMs), the demand for high-performance, cost-effective AI hardware has increased significantly. Intel Gaudi…
The BigCode community, jointly led by Hugging Face and ServiceNow, together with NVIDIA, has officially announced the launch of a new generation of open-source…
This guide from Hugging Face systematically introduces the technical principles, categories, existing tools, and real-world challenges of AI watermarking. As…
After Google released the Gemma family of open-source models (including 2B and 7B parameter versions), Hugging Face promptly published this practical…
This article provides an in-depth introduction to Matryoshka Representation Learning (MRL), also known as Matryoshka embedding models. Traditional embedding…
### Background: The Shortcomings of Static Safety Evaluations As large language models (LLMs) are widely adopted across industries, AI safety has become an…
Google has officially released a new family of open-source large language models called "Gemma" — a series of lightweight, state-of-the-art open-source models…
Hugging Face and South Korea's leading AI startup Upstage have jointly announced the launch of the "Open Ko-LLM Leaderboard." This is a brand-new evaluation…
Hugging Face's PEFT (Parameter-Efficient Fine-Tuning) library has recently received a major update, officially adding support for several advanced adapter…
This article takes an in-depth look at the critical role of "synthetic data" in the open-source ecosystem, and explains how it helps enterprises and developers…