You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
NEXUS is an AI search engine-like agent that generates capstone thesis titles across various fields of application. Each generated title is accompanied by related literature sourced from Google Scholar, utilizing the Retrieval-Augmented Generation (RAG) technique.
Autobot is an innovative tool powered by Machine Learning (ML) and Large Language Models (LLMs) that transforms simple text prompts into creative outputs like music, videos, images, text, and even code. Built with Next.js and integrated with Replicate AI, it’s designed to simplify content generation and unlock creative possibilities for users.
In this project, we developed a Streamlit app that uses Groq API and Google Generative AI for question-answering by embedding and retrieving content from multiple PDFs. The app leverages prompt engineering, RAG (Retrieval-Augmented Generation), and document chaining for accurate and context-based responses.
Welcome to the Multi-Page RAG Model App! This app allows you to interact with different types of data using Retrieval-Augmented Generation (RAG) models
TranslodeP2C is an AI-powered pseudocode-to-C++ transformer, built with a seq2seq model. It preprocesses structured pseudocode, trains on paired datasets, and generates efficient C++ code. With an intuitive Streamlit UI, TranslodeP2C enables seamless and intelligent code synthesis from natural language descriptions. 🚀
This project demonstrates the power of LangChain by implementing four distinct workflows—simple, sequential, parallel, and conditional chains—using OpenRouter’s DeepSeek model. It processes text inputs to generate facts, summaries, notes, quizzes, and sentiment-based responses and more.
A Python-based system for generating synthetic tax law cases to evaluate GenAI reasoning capabilities, based on the MuSR (Multistep Soft Reasoning) framework.
A Generative AI Application developed using Langchain Framework, OpenAI API and Pinecone Vector Database that helps in understanding a PDF. One can ask questions related to the PDF and the application will answer, clarifying their doubts.
This repository is a hands-on implementation of Generative AI: LangChain Models, Build, and Explore LLM-Models. It showcases the core fundamentals of LangChain, OpenAI/Gemini integrations, and Hugging Face models.