S-Chatbot is a Streamlit-based chatbot powered by GooglePalm language model. It allows users to interact with the chatbot and receive responses from the model.

This project is a Streamlit-based application that utilizes GooglePalm language model to assist in generating marketing content for different age groups. The application allows users to input a product, select a marketing task (e.g., writing sales copy, creating a tweet, or writing a product description), and choose a target audience age group.

This project is a Retail Store Database Assistant that uses LangChain and Google Palm Language Model to interact with a MySQL database. Users can ask questions about the database, and the assistant will generate MySQL queries to retrieve relevant information.

Created conversational chatbot using GooglePaLM and HuggingFace model.

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

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.

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

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.

A Q-A Chat Assistant based on the FAQ

Query from DB with help of LLM in Simple English query

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

The Dynamic Test Paper Generator project utilizes a large language model-based question generation approach, incorporating Bloom's Taxonomy. This innovative system aims to dynamically generate test papers with questions aligned to various cognitive levels defined by Bloom's Taxonomy.

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.