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

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

Abstract: In modern software development, maintaining consistency between architectural documentation and implementation remains a significant challenge. This research explores how large language ...

Please add official support for google/t5gemma-s-s-prefixlm in tensorrt-llm. T5Gemma (aka encoder-decoder Gemma) was proposed in a research paper by Google. It is a family of encoder-decoder large ...

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how trustworthy they really are. ChatGPT maker OpenAI has built an experimental ...

Abstract: Recent neural models for video captioning are typically built using a framework that combines a pre-trained visual encoder with a large language model(LLM) decoder. However, large language ...

Xiaomi’s MiMo team released MiMo-Audio, a 7-billion-parameter audio-language model that runs a single next-token objective over interleaved text and discretized speech, scaling pretraining beyond 100 ...

A new study from the Anthropic Fellows Program reveals a technique to identify, monitor and control character traits in large language models (LLMs). The findings show that models can develop ...

Since the groundbreaking 2017 publication of “Attention Is All You Need,” the transformer architecture has fundamentally reshaped artificial intelligence research and development. This innovation laid ...

If you are a tech fanatic, you may have heard of the Mu Language Model from Microsoft. It is an SLM, or a Small Language Model, that runs on your device locally. Unlike cloud-dependent AIs, MU ...