AI-driven chatbots have become a powerful tool in educational settings due to the increasing demand to optimize academic information retrieval. This paper introduces Vincent Mary School of Engineering ...
What if your AI agent could not only answer your questions but also truly understand them, navigating complex queries with precision and speed? While the rise of vector search has transformed how AI ...
Abstract: Multi-Query Image Retrieval (MQIR) aims to establish connections between vision and language by exploring fine-grained region-query alignments. It is still a challenging task owing to its ...
Google announced a major update to voice search that uses AI to make it faster and more accurate, calling it a new era. Google announced an update to its voice search, which changes how voice search ...
In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...
Cathy Hoyt and her husband adopted a golden retriever named Duke 18 months ago. They had been warned about his strange tendency to take and guard household items, but nothing prepared them for the ...
Add support for creating a custom tool that connects to MongoDB, performs CRUD operations, and integrates with Langflow's tool node system. MongoDB is a widely used NoSQL database in modern AI, web, ...
An often-overlooked learning strategy—despite lots of strong research indicating its efficacy—is retrieval practice. When teachers build retrieval practice into classroom routines with activities that ...
The LLM Document Question-Answering System is an enterprise-grade RAG service that intelligently processes various document formats (PDF, DOCX, TXT, emails) and provides accurate, context-aware ...
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