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17 articles
Learn how to install and use webAI's TwIL-LM formal-logic models for autoformalization on local hardware, converting English statements into first-order logic.
Learn to create a philosophical AI chatbot that can discuss consciousness, purpose, and the nature of reality using Python and Hugging Face Transformers.
Learn to build secure AI model access systems using Hugging Face's platform with proper authentication, logging, and rate limiting practices.
Learn how to work with open-weight language models using Python and Hugging Face's Transformers library. This beginner-friendly tutorial teaches you to create text generation applications and understand the technology behind AI regulation debates.
Learn how to build a basic AI content filter using Python and Hugging Face Transformers, demonstrating the fundamental concepts behind AI safety measures used by companies like xAI.
Learn how to work with Hugging Face's open-source AI ecosystem by downloading, fine-tuning, and deploying pre-trained models using the Transformers library.
Learn how to work with mixture-of-experts (MoE) language models like Tencent's Hy3 using Hugging Face's Transformers library. This beginner-friendly tutorial teaches you to load, tokenize, and generate text with MoE models.
Learn how to deploy and manage AI models using Python, FastAPI, and Hugging Face Transformers. This tutorial demonstrates key concepts in AI infrastructure that relate to the broader discussion about public ownership of AI assets.
Learn to create AI video generation pipelines using Hugging Face's Stable Video Diffusion models. This tutorial teaches you how to generate videos from text prompts and images, customize parameters, and process multiple videos efficiently.
Learn how to build and deploy your own AI chatbot using the Hugging Face platform, no coding experience required.
Learn how to set up and run a basic benchmark test for agentic reasoning using Python and Hugging Face Transformers. This tutorial teaches you to evaluate AI agents' ability to handle real-world tasks.
Learn how to deploy and manage large language models using Hugging Face Transformers, simulating real-world AI infrastructure practices similar to those used by OpenAI.