Tag
7 articles
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.
Learn how to work with advanced language models similar to those used by intelligence agencies like the NSA, including loading models, creating chat interfaces, and optimizing performance.
Learn how to work with multimodal AI models like Meta's Muse Spark using open-source tools and libraries, even though the actual model is closed source.
Explore the significance of Hugging Face's TRL v1.0, a unified framework for aligning large language models through post-training techniques like SFT, Reward Modeling, DPO, and GRPO.
Learn how to use Microsoft's MAI-Image-2 AI model to generate images programmatically using Python and Hugging Face Transformers.
Learn how to create your own image generation pipeline using Python and Hugging Face's Transformers library. This beginner-friendly tutorial teaches you to generate images from text prompts using pre-trained models similar to Luma AI's Uni-1.
