New Apple model combines vision understanding and image generation with impressive results

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
SiliconANGLE

Hugging Face open-sources world’s smallest vision language model

Hugging Face Inc. today open-sourced SmolVLM-256M, a new vision language model with the lowest parameter count in its category. The algorithm’s small footprint allows it to run on devices such as ...

How AI Models Generate Text : Explained In Simple Terms from Prompt to Reply

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...
MIT Technology Review

Meet the new biologists treating LLMs like aliens

By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...
Vietnam Investment Review on MSN

Z.ai Open-Sources GLM-4.7, a New Generation Large Language Model Built for Real Development Workflows

SINGAPORE - Media OutReach Newswire - 26 December 2025 - Z.ai has released GLM-4.7, the latest version of its open-source ...
The Conversation

Large language models: how the AI behind the likes of ChatGPT actually works

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...
Live Science

Large language models not fit for real-world use, scientists warn — even slight changes cause their world models to collapse

Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds. When you purchase through links on our ...
Semiconductor Engineering

Small Language Models: A Solution To Language Model Deployment At The Edge?

While Large Language Models (LLMs) like GPT-3 and GPT-4 have quickly become synonymous with AI, LLM mass deployments in both training and inference applications have, to date, been predominately cloud ...