LLMs are deep learning models with billions of parameters that excel at a wide range of natural language processing tasks. They can perform tasks like translation, sentiment analysis, and chatbot conversations without being specifically trained for them

DocChat: Langchain Retrieval System, seamlessly navigate and converse with your documents using Langchain-powered AI, transforming PDF content into actionable insights through natural language interactions.

The "Codebasics Q&A" project is an end-to-end Question and Answer (Q&A) system developed for Codebasics, an e-learning company specializing in data-related courses and bootcamps. The system is designed to assist students who typically ask questions via Discord or email by providing instant, automated responses.

The project involves developing a chatbot to enhance learning by answering common FAQs and providing hints within the scope of each sprint. Below is the deployed link demonstrating frontend and node backend. Flask app is not deployed due to size issue, please run locally and use google api key to check the functionality of our RAG based chatbot

Application built with Langchain and Streamlit Using OpenAI and Google Palm in which user can query questions related upto 3 new articles including extractive question answering and summarization and also user can add a youtube video link and on basis of that user will get the desired video summarization.

Project made with Langchain, Google Palm, Streamlit in which user can enter the youtube video url and the summary related to the video is being fetched

A Streamlit application that helps store owners answer questions about their inventory easily using natural language. This application leverages LangChain to combine the power of Large Language Models (LLMs) with a MySQL database.

An AI based ml tool which answers custom questions on any report link you provide

LLM get the question from the manager and convert the question into query perform the database retrial operation and finally LLM produce the proper Result in very short time !!!

This is an end to end LLM project based on Google Palm and Langchain

A Q-A Chat Assistant based on the FAQ

Query from DB with help of LLM in Simple English query

An AI-powered application that can guess movie titles based on plot summaries. Built using LangChain, Google Palm LLM, CSVLoader, RetrievalQA, Google Palm Embeddings, and FAISS. Deployed on Streamlit for an interactive user experience, allowing you to enter a plot summary and receive a predicted movie title.

Created conversational chatbot using GooglePaLM and HuggingFace model.