Tag

#transformers

69 articles

Poolside releases Laguna S 2.1, the open-weight coding model pitched as the West’s answer to DeepSeek and Qwen

Learn how to set up and run open-weight coding models like Poolside's Laguna S 2.1 on your local machine. This beginner-friendly tutorial covers environment setup, model loading, and code generation.

Jul 216

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

I hate that I don’t hate this song made with Suno

This article explains the advanced AI concepts behind generative music systems like Suno, exploring how neural networks learn musical patterns and why their outputs can be technically impressive yet emotionally hollow.

Jul 1921

Kimi: Threat or menace?

Learn to build a simple AI chatbot using Python and Hugging Face Transformers, gaining hands-on experience with the technology behind systems like Kimi.

Jul 1826

Databricks hits $188B valuation, extending its run as AI’s favorite second act

Learn how to set up and use open weight AI models for coding, following the approach that has helped Databricks reach a $188B valuation. This beginner-friendly tutorial teaches you to load models, generate code, and experiment with different AI tools.

Jul 1725

Thinking Machines Lab Releases Inkling: A 975B-Parameter Open-Weights Multimodal MoE With 41B Active Parameters And Controllable Thinking Effort

Learn how to set up and run inference with the Inkling multimodal AI model from Thinking Machines Lab, including text and image processing with controllable thinking effort.

Jul 1520

PrismML Releases Bonsai 27B: 1-bit and Ternary Builds of Qwen3.6-27B That Run on Laptops and Phones

Learn how to load, run, and test PrismML's Bonsai 27B low-bit language models using Python and Hugging Face Transformers.

Jul 148

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

tech

US power firms scramble for transformers and turbines as data centres strain supply

Learn to build a simulation system for tracking transformer and turbine demand in AI data centers, including forecasting models and shortage alerts.

Jul 935

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

NVIDIA Releases Nemotron-Labs-TwoTower: an Open-Weight Diffusion Language Model Built on a Frozen Autoregressive Nemotron-3-Nano-30B-A3B Backbone

Learn to work with NVIDIA's Nemotron-Labs-TwoTower, a hybrid language model combining autoregressive and diffusion approaches for improved text generation throughput.

Jun 3042

Europe Is Fed Up and Wants Its Own AI

Learn to create a European-focused AI model using Hugging Face's transformers library, focusing on multilingual training with European datasets and regulatory compliance.

Jun 2649