Reports on the Hub: A First Look at Self-governance in Open Source AI Development
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8Building a Vision Mixture-of-Expert Model from several fine-tuned Phi-3-Vision Models
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6Saving Memory Using Padding-Free Transformer Layers during Finetuning
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18An Analysis of Chinese LLM Censorship and Bias with Qwen 2 Instruct
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64Aligning Large Language Models with BRAIn
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9What CI/CD practitioners know that ML engineers don’t… yet
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BrAIn: next generation neurons?
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15Training an Object Detection Model with AutoTrain
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18Orchestrating Small Language Models (SLM) using JavaScript and the Hugging Face Inference API
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2Orquestrando Small Language Models (SLM) usando JavaScript e a API de Inferência do Hugging Face
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2Announcing Occiglot-Fineweb
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6🦙⚗️ Using Llama3 and distilabel to build fine-tuning datasets
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79Fine-tune and deploy open LLMs as containers using AIKit - Part 1: Running on a local machine
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4Virtual Try-On using IP-Adapter Inpainting
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38LLM数据工程3——数据收集魔法：获取顶级训练数据的方法
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23LLM Data Engineering 3——Data Collection Magic: Acquiring Top Training Data
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5I ran 580 model-dataset experiments to show that, even if you try very hard, it is almost impossible to know that a model is degrading just by looking at data drift results
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FiftyOne Computer Vision Datasets Come to the Hugging Face Hub
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12⚗️ 🔥 Building High-Quality Datasets with distilabel and Prometheus 2
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27Expert-Level Tutorials on Stable Diffusion & SDXL: Master Advanced Techniques and Strategies
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