With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

Google’s Diffusion Gemma introduces a bold shift in AI language modeling by adopting a diffusion-based architecture that processes tokens in parallel, rather than sequentially. As explained by Prompt ...

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

We introduce OneCAT, a unified multimodal model that seamlessly integrates understanding, generation, and editing within a novel, pure decoder-only transformer architecture. Our framework uniquely ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

Google’s Gemini AI models have improved by leaps and bounds over the past year, but you can only use Gemini on Google’s terms. The company’s Gemma open-weight models have provided more freedom, but ...

Hamza is a certified Technical Support Engineer. The “Stable diffusion model failed to load” error occurs when Stable Diffusion cannot initialize or load the ...

Office chairs equipped with wheels and ergonomic features are designed to make long hours of sitting more comfortable, flexible, and productive. These chairs allow smooth mobility across the workspace ...

LDP consists of a diffusion modeling for encoded text space of an off-the-shelf pre-trained encoder and decoder, the diffusion process can be intervened by additional controller . Paraphrase ...