The project can be tested at the attached Hugging Face link. The project is in the development stage, in the launch phase for BackdropBuild. Have fun and learn!
About
Project_Features: - Advanced_AI_Technology: Utilizes a contextual predictive generative model based on Transformers. Incorporates two robust control approaches using sliding mode control: one adaptive and another based on fuzzy logic. - Diverse_Applications: Suitable for virtual assistants, chatbots, and recommendation systems. Useful for handling uncertainty and variations in input data. - User_Interaction: The model quickly converges towards user inputs, mimicking human behavior. Integrations: Hugging Face, Pinecone, ComposeDB, Chroma, Google Colab, and Google Cloud. Creator_Profile: - Name: Emmanuel Casarrubias - Background: Mechatronics engineer specializing in Automation and Control, with a master's degree in control, specialized in advanced non-linear control techniques using integral sliding mode control of higher order. Objective: To demonstrate how AI can be enhanced with advanced control techniques, providing robust and adaptive solutions for text generation. Future_Projections: TensorFlow, PyTorch, Streamlit, FastAPI, AWS Lambda, and DVC. Link of Model: https://huggingface.co/spaces/EmmanuelCasarrubias/AI-Transformer-Contextual-Text-Predictive
