#Generative AI Models Project
This repository contains a detailed exploration of generative AI models, demonstrated through a Jupyter notebook. The project focuses on implementing cutting-edge generative algorithms to create synthetic data in various formats, showcasing their potential in creative and practical applications.
Project Overview The goal of this project is to experiment with and understand the architecture of generative models, such as:
GANs (Generative Adversarial Networks) VAEs (Variational Autoencoders) Transformers for text generation (like GPT-based models) These models are trained to generate new, high-quality content in domains like text, images, and more.
Key Features Custom Implementations: Detailed code implementations of popular generative models. Dataset Flexibility: The notebook allows users to train models on custom datasets. Model Evaluation: Includes tools to assess the quality of generated outputs. Applications: This project explores how generative models can be applied to tasks such as image synthesis, text generation, and other creative applications. Gemini AI Models models/gemini-1.0-pro-latest models/gemini-1.0-pro models/gemini-pro models/gemini-1.0-pro-001 models/gemini-1.0-pro-vision-latest models/gemini-pro-vision models/gemini-1.5-pro-latest models/gemini-1.5-pro-001 models/gemini-1.5-pro models/gemini-1.5-pro-exp-0801 models/gemini-1.5-pro-exp-0827 models/gemini-1.5-flash-latest models/gemini-1.5-flash-001 models/gemini-1.5-flash-001-tuning models/gemini-1.5-flash models/gemini-1.5-flash-exp-0827 models/gemini-1.5-flash-8b-exp-0827 models/gemini-1.5-flash-8b-exp-0827 Latest Model Feel free to connect if you’re interested in discussing generative AI, machine Future Work Expanding the project with additional generative models, such as StyleGAN or diffusion models. Fine-tuning models for specific tasks like conditional image generation or story creation. Integration with real-world applications like creative content generation tools. Contributions Contributions are welcome! Feel free to submit issues or pull requests to improve the project.