IEEE

ORION: Integrated Architecture Combining Object Detection Language Understanding Graph Reasoning for Visual Question Answering

Abstract: In the modern era, Visual Question Answering (VQA) requires an intelligent method to together understand images and natural language queries, making one of the most challenging tasks at the ...
IEEE

Language-Guided Progressive Query Refinement with Diffusion Model for Visual Grounding on Remote Sensing Images

Abstract: Remote sensing (RS) visual grounding (RSVG) is a lively research topic in the RS community. Due to the superior performance of transformers in cross-modal interaction and alignment, they ...
thenexthint

What Are Large Language Models? Definition, Examples & Future Of LLMS

Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...
Phys.org

Integrating content and language instruction for multilingual learners analyzed across bilingual programs

For example, 24 studies indicated that teachers incorporating language instruction into their lessons predominantly covered vocabulary, rather than also including grammar, syntax and other elements of ...
BGR

Gemini Might Be Integrated Into Google Maps For AI-Powered Queries

Google has been aggressively integrating Gemini into all of its apps and services, and Google Maps might be next. While investigating the newest beta version of the Google app for Android this week, ...
InfoWorld

How to chunk data using LINQ in C#

Take advantage of the Chunk method in LINQ to split large data sets into a sequence of chunks for more efficient processing. Language-Integrated Query, or LINQ for short, brings a query execution ...
ZDNet

Want generative AI LLMs integrated with your business data? You need RAG

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...
Business Wire

AtScale Introduces Industry-First Public Leaderboard for Text-to-SQL Solutions, Setting Transparent Standards for Natural Language Query (NLQ) Evaluation

BOSTON--(BUSINESS WIRE)--AtScale, a leader in semantic layer technology, has launched an open, public leaderboard for Text-to-SQL (T2SQL) solutions, addressing a critical need for transparency and ...
marktechpost

Microsoft Researchers Introduce Advanced Query Categorization System to Enhance Large Language Model Accuracy and Reduce Hallucinations in Specialized Fields

Large language models (LLMs) have revolutionized the field of AI with their ability to generate human-like text and perform complex reasoning. However, despite their capabilities, LLMs need help with ...
Nasdaq

Accenture Invests in Martian to Bring Dynamic Routing of Large Language Queries and More Effective AI Systems to Clients

The rapid expansion of AI systems and large language models has created a complex landscape where each model presents unique tradeoffs in performance, cost, and speed. Martian’s model router addresses ...
ahajournals.org

Accuracy and Evolution of Large Language Models in Atrial Fibrillation–Related Queries: A Patient- and Provider-Centered Approach

Atrial fibrillation (AF) management can be challenging due to the need for patient adherence to lifelong anticoagulation and its negative impact on patients’ quality of life. Studies link quality of ...