Tag

#hugging face

14 articles

OpenAI is scared of open-weight models. Should the US be?

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.

Jul 205

xAI’s first lawsuit against a user tests who is responsible for what Grok makes

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.

Jul 1522

Hugging Face’s CEO on why companies are done renting their AI

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.

Jul 1023

Tencent releases Hy3 open-source model that allegedly matches models up to five times its active size

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.

Jul 630

OpenAI proposed donating 5% of its equity to a US sovereign wealth fund

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.

Jul 249

AI video startup Higgsfield is in talks to raise at a $5bn valuation

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.

Jul 122

The AI industry's platform trap is starting to look a lot like Microsoft's

Learn how to build and deploy your own AI chatbot using the Hugging Face platform, no coding experience required.

Jun 1262

Top 7 Benchmarks That Actually Matter for Agentic Reasoning in Large Language Models

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.

Apr 2567

Elon Musk and Sam Altman’s court showdown will dish the dirt

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.

Apr 2459

NSA spies are reportedly using Anthropic’s Mythos, despite Pentagon feud

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.

Apr 2082

Meta’s Muse Spark is here – and it’s closed source

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.

Apr 8103

Hugging Face Releases TRL v1.0: A Unified Post-Training Stack for SFT, Reward Modeling, DPO, and GRPO Workflows

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.

Mar 3197