Search results
We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enabling new capabilities of perceiving object descriptions (e.g., bounding boxes) and grounding text to the visual world.
- Download BibTex
Together with multimodal corpora, we construct large-scale...
- Download BibTex
Kosmos-2: Grounding Multimodal Large Language Models to the World. [paper] [dataset] [online demo hosted by HuggingFace] Aug 2023: We acknowledge ydshieh at HuggingFace for the online demo and the HuggingFace's transformers implementation.
29 cze 2023 · Sztuczna inteligencja zawsze miała stać się fizyczna. Według badań Kosmos-2 jest modelem językowym, który umożliwia nowe możliwości postrzegania opisów obiektów (np. ramek ograniczających) i łączenia tekstu ze światem wizualnym.
KOSMOS-2 is a Transformer-based causal language model and is trained using the next-word prediction task on a web-scale dataset of grounded image-text pairs GRIT.
We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enabling new capabilities of perceiving object descriptions (e.g., bounding boxes) and grounding text to the visual world.
KOSMOS-2 is a Transformer-based causal language model and is trained using the next-word prediction task on a web-scale dataset of grounded image-text pairs GRIT.
Immersive strides are being made in AI technology with the advent of Multimodal Large Language Models (MLLMs), particularly noticeable with the groundbreaking KOSMOS-2 Model. A creation of Microsoft Research, this model wields the power of multimodalities and grounding capabilities, reinventing the interaction between users and AI technology ...
