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Python bindings for the Transformer models implemented in C/C++ using GGML library.
Run inference on replit-3B code instruct model using CPU
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
Your offline AI pair programmer for VSCode on Windows.
The Medical Chatbot, built with Flask, integrates NLP libraries like Langchain and Hugging Face Transformers for text processing and embedding generation. Utilizing Pinecone as a vector database, it efficiently stores and retrieves data, offering users an interactive platform for medical inquiries.
A Healthcare System Integrating Azure-Powered Machine Learning, Deep Learning Models for Disease Detection, and a Conversational AI Chatbot
Text2ImageDescription retrieves relevant images from Pascal VOC 2012 dataset using OpenAI CLIP, based on text queries, and generates descriptions using quantized Mistral-7b model.
A repository for training transformer based models
This is the GeoChatBot, created for the hackathon organized by Mineral Exploration and Consultancy Limited (MECL).
This chat bot answers all your questions regarding menstruation ( hormonal changes , phases of menstruation and many more)
A minimalist Docker project to help people getting started with Node, CTransformers, Express and TypeScript. Ready to be used in a Hugging Face Space.
A package for processing documents and generating questions and answers using LLMs on CPU.
A package for processing documents and generating questions and answers using LLMs on GPU and CPU.
Write Wiz - Blog Generator 📝 Generate captivating blogs effortlessly with Write Wiz! Write Wiz is powered by the LLama 2 model.
The MediNova AI is a powerful tool designed to provide medical information by answering user queries using state-of-the-art language models and vector stores.
This Streamlit app uses an advanced language model to help you generate content. Just tell it your topic, word count, and job profile, and voila! Your blog post is ready.
Llama Custom X is a Streamlit-based AI chatbot that interacts with CSV datasets using conversational AI. It offers data-driven insights, intelligent responses, and visualizations for enhanced data analysis. Perfect for cybersecurity data exploration.
solo connector core built on ctransformers
📚This repository includes a PDF question-and-answer chatbot that utilizes sophisticated natural language processing techniques. To ask about the document, users can submit it in PDF format and get quick responses through automatic extraction by the machine.
Python기반 라이브러리 Langchain, Streamlit, CTransformers를 이용하여 llama2 모델을 이용한 웹페이지 제작을 하였습니다
In this project we hosted LLAMA model with 7B parameter for response generation. Here we created a rest api which can generate a response when provided a query text.