LLMTwins

LLMTwins is an innovative framework designed to streamline the development and deployment of digital twins powered by Large Language Models (LLMs). This cutting-edge tool provides developers with a comprehensive environment to create, train, and deploy AI-driven digital twins that can simulate and predict real-world behaviors and interactions. By leveraging the advanced capabilities of LLMs, LLMTwins enables highly accurate modeling of complex systems, offering insights and foresight into various scenarios across industries such as manufacturing, healthcare, urban planning, and beyond.

Key Features

• Seamless Integration with LLMs: LLMTwins is built to work effortlessly with state-of-the-art language models, including GPT-3, BERT, and other transformers, enabling rich, contextual understanding and generation of human-like text.
• Customizable Digital Twin Creation: Users can tailor their digital twins to specific needs, integrating real-time data feeds and custom AI logic to accurately reflect the dynamics of the system being modeled.
• Scalable Deployment: Designed for scalability, LLMTwins supports deployment across various platforms, ensuring that your digital twins can grow with your project's needs.
• Intuitive Development Environment: With its user-friendly interface, LLMTwins simplifies the process of developing and managing digital twins, making it accessible to both technical and non-technical users.

Whether you're looking to enhance operational efficiency, optimize product development, or create immersive simulation experiences, LLMTwins provides the tools and flexibility needed to harness the power of LLMs for digital twin technology. Start building smarter, more responsive digital twins with LLMTwins today.

Environment

Environment Variables:

• CREDENTIALS_FILE: Google service account private key JSON
• GDRIVE_LLM_ROOT_PATH: LLM root path on Google Drive
• GSHEET_FOR_TEMPLATE_OF_LLM_PROFILE: Template ID for Google sheet
• OPENAI_API_KEY (Optional): OpenAI API Key

How to resister environment content:

• Hown to resister environment content

Installation

vitrualenv env
pip3 install -r requirements.txt

Run

source env/bin/activate
uvicorn server:app --host 0.0.0.0 --port 8000 --reload

Procedure

Google Sheet:

• TODO

LLM Profile:

• TODO

Callback APIs:

• Path
  • callbacks/
• Prototype

Object foo(Object)

Demo

API test:

• Demo APIs on Youtube

LLM Profile:

• Profile on GoogleSheet (Template)