Tag

#text generation

6 articles

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

Anthropic's Fable 5 could return within days as Trump administration prepares to lift restrictions

Learn how to work with large language models using Python and Hugging Face. This beginner-friendly tutorial teaches you to load, customize, and experiment with AI text generation models.

Jun 2753

DeepSeek Releases DSpark, a Speculative Decoding Framework That Accelerates DeepSeek-V4 Per-User Generation 60–85% Over MTP-1

Learn how DSpark, a new AI framework from DeepSeek, speeds up text generation in AI models by making smart guesses and verifying only when necessary, without sacrificing accuracy.

Jun 2739

Google's new open model DiffusionGemma generates text from noise instead of word by word

Google's new DiffusionGemma model generates text using a diffusion process, offering four times the speed of autoregressive models but at the cost of lower output quality.

Jun 1033

Google speeds up Gemma 4 threefold with multi-token prediction

Learn how to implement multi-token prediction for text generation using Google's Gemma 4 model, demonstrating how generating multiple tokens simultaneously can speed up text generation by up to three times.

May 674

Cohere and Aleph Alpha announce merger in Berlin, creating a $20 billion transatlantic AI company

Learn how to work with AI models using Python and open-source tools similar to what companies like Cohere and Aleph Alpha are developing. This beginner-friendly tutorial covers setting up your environment and generating text with pre-trained models.

Apr 2356