During Microsoft Build 2024, Hugging Face announced a further strategic collaboration with Microsoft, aimed at providing developers with a more seamless…
Hugging Face and Dell Technologies have announced the launch of the "Dell Enterprise Hub," a new solution designed for enterprise on-premise AI deployment. As…
With the explosive growth of generative AI, demand for high-performance GPUs has reached an unprecedented level. To break hardware monopolies and reduce AI…
As enterprise demand for Retrieval-Augmented Generation (RAG) technology surges, how to maintain high performance while controlling hardware costs has become…
Hugging Face has announced a partnership with the independent AI performance analytics firm Artificial Analysis, officially integrating its "LLM Performance…
When developing applications based on large language models (LLMs) — such as AI agents, RAG systems, or automated workflows — one of the biggest challenges…
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…
Hugging Face and internet infrastructure giant Cloudflare have announced a major partnership that officially brings serverless GPU inference services to…
Hugging Face has officially released Cosmopedia, currently the largest and fully open-source synthetic dataset designed for the pre-training of large language…
### Background: The Shortcomings of Static Safety Evaluations As large language models (LLMs) are widely adopted across industries, AI safety has become an…
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…
Hugging Face has announced the launch of the new **NPHardEval** leaderboard — a benchmark specifically designed to evaluate the reasoning capabilities of large…
Hugging Face has partnered with AWS to officially bring its widely popular open-source LLM inference optimization framework, Text Generation Inference (TGI)…
Hugging Face has partnered with Patronus AI — a startup focused on LLM evaluation and defense — to officially launch the **Enterprise Scenarios Leaderboard**…
This official Hugging Face blog post provides a detailed guide on how to use open-source large language models (LLMs) as intelligent agents within LangChain…
Hugging Face's official blog announced a partnership with the Unsloth team to integrate Unsloth's efficient fine-tuning technology directly into Hugging Face's…
Looking back on 2023, the most notable trend in the AI landscape was the explosive growth of open-source large language models (Open LLMs). In this annual…
French AI startup Mistral AI officially released its highly anticipated open-source Mixture of Experts (MoE) model — Mixtral 8x7B. The model caused a sensation…
Mixture of Experts (MoE) has become a core technology for improving the performance and efficiency of today's large language models (LLMs). Traditional "dense…
Hugging Face announced the launch of a new open-source library called "Optimum-NVIDIA," the result of a deep collaboration with NVIDIA, aimed at seamlessly…
This Hugging Face blog post takes an in-depth look at how to use LoRA (Low-Rank Adaptation) to fine-tune three models of different architectures and scales for…
This technical blog post from Replicate provides a detailed walkthrough of how to build a basic Retrieval-Augmented Generation (RAG) application from scratch…