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62 articles
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 to build a simulation system for tracking transformer and turbine demand in AI data centers, including forecasting models and shortage alerts.
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 to work with NVIDIA's Nemotron-Labs-TwoTower, a hybrid language model combining autoregressive and diffusion approaches for improved text generation throughput.
Learn to create a European-focused AI model using Hugging Face's transformers library, focusing on multilingual training with European datasets and regulatory compliance.
Learn how to set up and interact with AI language models similar to those used in the newly released Anthropic Mythos 5 system. This beginner-friendly tutorial covers installing Python packages, loading models, and generating text using open-source tools.
Learn to compare and evaluate different AI models using the Hugging Face Transformers library, a crucial skill for understanding the political consequences of AI advancement.
Build a conversational AI assistant similar to Siri using Python, Transformers, and Flask. Learn to create context-aware chatbots with web interfaces.
Learn how to load, test, and evaluate the VibeThinker-3B reasoning model using Hugging Face transformers and Python.
Learn how to test AI model safety mechanisms and understand vulnerabilities by working with language models using Python and Hugging Face Transformers.
Learn how to set up a Python environment and work with large language models using the Hugging Face Transformers library. This beginner-friendly tutorial teaches you to download, test, and generate text with AI models in a safe, local environment.
Learn to build an AI safety monitoring system that detects potential jailbreak attempts in user input using Python and Hugging Face transformers.