Build a multimodal agent for product ingredient analysis
Have you ever found yourself looking at a product's ingredients list and Googling unfamiliar chemical names to find out what ...
Tag: multimodal
Stanford Researchers Introduce BIOMEDICA: A Scalable AI Framework to Advance Biomedical Models of Vision and Language with Large-Scale Multimodal Datasets
The development of VLM in the biomedical domain faces challenges due to the lack of large-scale, annotated, and publicly accessible ...
Meet OmAgent: a new Python library for creating multimodal language agents
Understanding long videos, such as 24-hour CCTV footage or full movies, is a major challenge in video processing. Large Language ...
NVIDIA AI Introduces Omni-RGPT: A Unified Multimodal Large Language Model for Seamless Regional Understanding in Images and Video
Multimodal Large Language Models (MLLM) bridge vision and language, enabling effective interpretation of visual content. However, achieving an accurate and ...
Microsoft AI Research presents MVoT: a multimodal framework for integrating visual and verbal reasoning in complex tasks
The study of artificial intelligence has seen transformative advances in reasoning and understanding complex tasks. The most innovative developments are ...
Generation of Multimodal Financial Reports through Llamaindex
In many real-world applications, data is not purely textual; They can include images, tables and graphs that help reinforce the ...
Beyond Passwords: A Multimodal Approach to Biometric Authentication Using ECG and Iris Data
Biometric authentication has emerged as a promising solution to improve security by offering a stronger defense against cyber threats. However, ...
InfiGUIAgent: a novel multimodal generalist GUI agent with native reasoning and reflection
The development of graphical user interface (GUI) agents faces two key challenges that hinder their effectiveness. First, existing agents lack ...
Salesforce AI introduces TACO: a new family of multimodal action models that combine reasoning with real-world actions to solve complex visual tasks
Developing effective multimodal ai systems for real-world applications requires handling various tasks, such as fine-grained recognition, visual basis, reasoning, and ...
RAG-Check: a new AI framework for hallucination detection in multimodal retrieval augmented generation systems
Large language models (LLMs) have revolutionized generative ai, displaying remarkable capabilities to produce human-like responses. However, these models face a ...
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