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
Implementing a robust client-server architecture from scratch, designed to operate within a local network 💻. A designated computer running the server program acts as the central server, while clients connect using the server's IP address. The server efficiently handles multiple clients and features a versatile large language model (LLM) 🚀
Developed an Azure OpenAI-based RAG email marketing platform with a Streamlit frontend and FIASS vector database for similarity search. The platform processes multiple input formats, including CSV, PDF, text, and PPT, and incorporates product descriptions and sales data to generate creative content and matplotlib graphs based on the input data.
ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.
AI-Powered Social Media Post Optimizer enhances your social media content by optimizing text posts with relevant tags and keywords, predicting engagement metrics, and analyzing image quality. Upload your post and image to receive tailored suggestions for improving engagement and visual appeal.
Local AI Open Orca For Dummies is a user-friendly guide to running Large Language Models locally. Simplify your AI journey with easy-to-follow instructions and minimal setup. Perfect for developers tired of complex processes!
This repository contains the implementation of a Retrieval-Augmented Generation (RAG) agent using Large Language Models (LLMs). RAG agents combine the power of information retrieval with text generation, enabling applications such as intelligent question-answering systems, and more.
QAYPD(Question-Answer Your Personal Documents), an AI tool to help you answer questions related to your personal documents quickly via leveraging the computational capabilities of OpenAI's GPT LLM (Large Language Model).
multimodal generation using LLaVa, a large language model enhanced with visual inputs for inference tasks. Includes setup, image-text processing, and autoregressive generation.