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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.
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).
A simple-to-use Python script to generate, maintain, and integrate a visual tree map of your project directory structure for improving LLM performance when dealing with a large codebase
The open-source repository llm.gallery aggregates research & development content about Large Language Models (LLMs). Explore curated academic papers, community contributions, and educational content on LLM and related topics.
Talk_with_PDF is a powerful, AI-driven solution designed to automate the extraction of information and generation of answers based on PDF documents. By integrating OpenAI's advanced language models and embeddings, this system provides accurate and contextually relevant responses, making it an invaluable tool for education, business, and research.
LangSphere is an interactive AI playground specially developed to demonstrate the capabilities of large language models (LLMs) within the realm of Augmented Analytics.