Discover the essential role of databases in managing and organizing data efficiently, ensuring it remains accessible and secure.
How product quantization improves nearest neighbor search by enabling fast, memory-efficient, and accurate retrieval in high-dimensional datasets.
Discover the essentials of feature selection and how it enhances machine learning models by focusing on the most relevant data.
Still waiting around for ControlNet to generate images? Discover how the new Diffusers integration makes real-time, high-quality image conditioning possible—even on mid-range GPUs.
Want to build a ControlNet that follows your structure exactly? Learn how to train your own ControlNet using Hugging Face Diffusers—from dataset prep to inference—in a streamlined, hands-on workflow.
How can you build intelligent systems without compromising data privacy? Substra allows organizations to collaborate and train AI models without sharing sensitive data.
What if training LLaMA with reinforcement learning from human feedback didn't require a research lab? StackLLaMA shows you how to fine-tune LLaMA using SFT, reward modeling, and PPO—step by step, with code and clarity
Think you can't fine-tune large language models without a top-tier GPU? Think again. Learn how Hugging Face's PEFT makes it possible to train billion-parameter models on modest hardware with LoRA, AdaLoRA, and prompt tuning.
Learn how to implement federated learning using Hugging Face models and the Flower framework to train NLP systems without sharing private data.
Adapt Hugging Face's powerful models to your company's data without manual labeling or a massive ML team. Discover how Snorkel AI makes it feasible.
Ever wondered how to bring your Unity game to life in a real-world or virtual space? Learn how to host your game efficiently with step-by-step guidance on preparing, deploying, and making it interactive.
Curious about Hugging Face's new Chinese blog? Discover how it bridges the language gap, connects AI developers, and provides valuable resources in the local language—no more translation barriers.