Multimodal learning in STEAM education: improving teaching and engagement
Integrating science, technology, engineering, arts, and mathematics (STEAM) education into all facets of classroom instruction has become crucial to equipping ...
Tag: multimodal
LLaVA-OneVision: A family of large open multimodal models (LMMs) to simplify visual task transfer
A key goal in ai development is the creation of general-purpose assistants that use large multimodal models (LMMs). Creating ai ...
MM-Vet v2: A challenging benchmark for evaluating large multimodal models (LMMs) for integrated capabilities
Large language models (LMMs) are developing significantly and are proving capable of handling more complex tasks that require a combination ...
Idefics3-8B-Llama3 is released: an open multimodal model that accepts arbitrary sequences of image and text inputs and produces text outputs
Machine learning models that integrate text and images have become critical to improving capabilities in various applications. These multimodal models ...
MedTrinity-25M: A comprehensive multimodal medical dataset with advanced annotations and its impact on vision and language model performance
Large-scale multimodal baseline models have achieved remarkable success in understanding complex visual patterns and natural language, which has generated interest ...
MINT-1T dataset launched: a multimodal dataset with one trillion tokens for building large multimodal models
artificial intelligence, particularly in training large multimodal models (LMMs), relies heavily on large datasets that include image and text sequences. ...
Multimodal RAG: An Intuitive and Comprehensive Explanation | by Daniel Warfield | Jul, 2024
artificial intelligence | Recovery Augmented Generation | MultimodalityModern RAG for modern models.“Multicolored Team” by Daniel Warfield with Midjourney. All images ...
Google DeepMind researchers present Mobility VLA: Multimodal instruction navigation with long-context VLMs and topological graphs
Technological advancements in sensors, artificial intelligence, and processing power have propelled robotic navigation to new heights in the past decades. ...
LLaVA-NeXT-Interleave: A large and versatile multimodal model that can handle configurations such as multiple images, multiple frames, and multiple views
Recent advances in large multimodal models (LMMs) have demonstrated remarkable capabilities in diverse multimodal settings, moving closer to the goal ...
MIA-Bench: Towards better instruction after evaluating multimodal LLMs
We introduce MIA-Bench, a new benchmark designed to evaluate large multimodal language models (MLLMs) on their ability to strictly adhere ...
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