Simplify multimodal generative AI with Amazon Bedrock Data Automation
Developers face significant challenges when using foundation models (FMs) to extract data from unstructured assets. This data extraction process requires ...
Tag: multimodal
Meta AI launches Apollo: a new family of large multimodal video-LMM models for video understanding
While multimodal models (LMMs) have advanced significantly for text and image tasks, video-based models remain underdeveloped. Videos are intrinsically complex ...
Microsoft AI Research Introduces OLA-VLM: A Vision-Centric Approach to Optimizing Large Multimodal Language Models
Multimodal large language models (MLLM) are advancing rapidly, allowing machines to interpret and reason about textual and visual data simultaneously. ...
Where will AI and multimodal learning go in 2025?
Key points: Reflecting on the events of 2024, this year has been transformative for the entire educational landscape. We have ...
Meet Ivy-VL: A lightweight multimodal model with only 3 billion parameters for edge devices
Continued advancement in artificial intelligence highlights a persistent challenge: balancing model size, efficiency, and performance. Larger models typically offer superior ...
How easy is it to fool your multimodal LLMs? An empirical analysis of misleading indications
Remarkable advances in multimodal large language models (MLLMs) have not made them immune to challenges, particularly in the context of ...
Exploiting periodicity for robustness with multimodal mood pattern models.
*Equal taxpayers Data from wearable sensors (e.g., heart rate, step count) can be used to model mood patterns. We characterize ...
Visatronic: a unified multimodal transformer for video text-to-speech synthesis with superior synchronization and efficiency
Speech synthesis has become a transformative area of research, focusing on creating natural, synchronized audio outputs from various inputs. Integrating ...
Multimodal Autoregressive Pretraining of Wide View Encoders
*Equal taxpayers A dominant paradigm in large multimodal models is to pair a large language decoder with a vision encoder. ...
Jina AI Introduces Jina-CLIP v2: A 0.9B Multilingual Multimodal Embedding Model Connecting Images with Text in 89 Languages
In an interconnected world, effective communication in multiple languages and media is increasingly important. Multimodal ai faces challenges in combining ...
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