Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform
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Updated
Jun 29, 2024 - Jupyter Notebook
Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform
Q&A System using BERT and Faiss Vector Database
Building Essence Towards Personalized Knowledge Model - PKM
Generative AI projetc using LangChain for similarity search. Input 3 articles urls and ask something about the topic
An AI agent that writes SEO-optimised blog posts and outputs a properly formatted markdown document.
In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.
Webapp to answer questions about my resume leveraging Langchain, OpenAI, Streamlit
It allows users to upload PDFs and ask questions about the content within these documents.
This is an end to end LLM project based on Google Generative AI and Langchain. In this project I built a Q&A system based on a data from an e-learning company called codebasic
A Streamlit-based application that empowers equity research analysts to conduct in-depth research using news articles. It leverages the power of large language models (LLMs) like Google Gemini Pro to analyze vast amounts of news data and generate insightful answers to your queries.
This repository contains my team's internship project work at Flexbox Technologies. We have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.
This repository contains one of my cool project which I have created during my college's MINeD hack-a-thon.
This repository contains my internship project work at Flexbox Technologies. I have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.
GPU constrained! No More. Microsoft released Phi3 specially designed for memory/compute constrained environments. The model support ONXX CPU runtime which offers amazing inference speed even on mobile cpu.
Implementation of a question-answering system utilizing Large Language Models (LLMs) like Llama, Stable AI, and Amazon Titan via AWS Bedrock, Retrieval-Augmented Generation (RAG) techniques, and vector database
In this project I have built an advanced RAG Q&A chatbot with chain and retrievers using Langchain
The Chat App is a Python application that allows you to chat with ONE OR multiple PDF documents
LLM based PDF Chatbot
Examinator Plus is an AI-Assisted App that generates exam questions (Python / Streamlit / OpenAI / Langchain / RAG)
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