Showing results for Q Vector Art Vector Vector Vector
GitHub Repo
https://github.com/edsonlourenco/Vector-Brain
edsonlourenco/Vector-Brain
This project showcases how to build an intelligent chatbot using LLMs and PDF document vectorization. The goal is to enable contextual Q&A over a technical e-book using state-of-the-art AI.
GitHub Repo
https://github.com/kaushikchaturvedula/semantic-query-engine
kaushikchaturvedula/semantic-query-engine
A semantic text indexing and retrieval system designed for large-scale datasets in domains like healthcare, using state-of-the-art embedding models and scalable vector search technologies.
GitHub Repo
https://github.com/quantum-vector-io/quantum_vector_artifacts
quantum-vector-io/quantum_vector_artifacts
🌌 Quantum portfolio showcase with 4D tesseracts, particle physics & glassmorphism UI. Drop .jsx files → auto-deploy coding artifacts in a mesmerizing 3D cosmos. Built for AI-Human collaboration experiments. React + Three.js magic ✨
GitHub Repo
https://github.com/kssr1345/Qunatum-tranfer-learning-for-diabetic-rethinpathy
kssr1345/Qunatum-tranfer-learning-for-diabetic-rethinpathy
India is on track to become the world’s diabetes capital thus demanding accurate diagnosis of Diabetic retinopathy from optical coherence tomography (OCT) retinal images. Accurate and faster diagnosis is difficult as it depends on quality of image, operator handling and also the growing number of patients. In this paper we propose the use of quantum transfer learning model to accomplish diagnosis of Diabetic Retinopathy. Quantum Transfer Learning (QTL), is a hybrid combination of classical transfer learning and quantum computing. Unlike classical computers, quantum computers provide faster computation and better accuracy. The concept of QTL is mainly used where the dataset size is limited. The QTL model, diagnostically significant image features are extracted with Resnet18 Convolutional Neural NEtwork (CNN) model, which is reduced to 4-bit feature vector to be encoded as qubit and is finally classified by utilizing Variational Quantum Circuit (VQC). The proposed model gave a better accuracy than existing state of the art methods in terms of high accuracy despite with a smaller set of images in the training phase.
GitHub Repo
https://github.com/shaadclt/Ed-Tech-Company-QA-Assistant
shaadclt/Ed-Tech-Company-QA-Assistant
This project is a QA (Question-Answering) assistant designed for an Ed-Tech company. It leverages vector databases, state-of-the-art language models, and custom document embeddings to provide accurate responses to user queries based on a pre-defined knowledge base.
GitHub Repo
https://github.com/eyalfish/ARTOVeQ
eyalfish/ARTOVeQ
Adaptive Rate Task-Oriented Vector Quantization (ARTOVeQ), a learned compression mechanism that is tailored for remote inference over dynamic links. ARTOVeQ is based on designing nested codebooks along with a learning algorithm based on progressive learning.
GitHub Repo
https://github.com/Fredrick219/PDF-QUERY
Fredrick219/PDF-QUERY
This project offers a Python-based solution for analyzing text content within PDF documents using state-of-the-art language models and vector search. It combines the power of Langchain for natural language processing, Pinecone for vector search databases, the OpenAI API for advanced language understanding, and PyPDF for PDF processing.
GitHub Repo
https://github.com/aquacommander/VectorBrain
aquacommander/VectorBrain
⭐This project showcases how to build an intelligent chatbot using LLMs and PDF document vectorization. The goal is to enable contextual Q&A over a technical e-book using state-of-the-art AI⭐
GitHub Repo
https://github.com/Cyrus2709/News_Article_Q-A_System_RAG
Cyrus2709/News_Article_Q-A_System_RAG
A project designed to explore the power of Retrieval-Augmented Generation (RAG) using OpenAI's API and ChromaDB. By embedding documents into a vector space and retrieving relevant context for GPT-3.5-Turbo, it significantly reduces hallucinations often observed in traditional LLM outputs.
GitHub Repo
https://github.com/spheres-lab/qecd-pixel-logo