Generative AI
Generative AI models are advanced algorithms designed to create new content, such as text, images, music, or code, by learning patterns from existing data. Popular examples include GPT (for text) and DALL·E (for images). These models use deep learning techniques like transformers to generate outputs that resemble the original training data. They are widely used in content creation, design, and creative industries, enabling AI-driven innovation and automation.
Related Conference of Generative AI
November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
December 09-10, 2024
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July 28-29, 2025
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Generative AI Conference Speakers
Recommended Sessions
- Federated Learning
- AI Ethics and Responsible AI
- AI in Cybersecurity
- AI in Finance
- AI in Healthcare
- AI-Powered Personalization
- Artificial Neural Network
- AutoML and Low-Code Machine Learning
- Causal Inference
- Data Democratization
- Data Privacy and Security
- Data Science
- Data-Centric AI
- Deep Learning
- Edge AI and IoT Analytics
- Generative AI
- Graph Neural Networks
- Large-Scale Data Engineering
- Multi-Modal Learning
- Quantum Machine Learning
- Real-Time Data Streaming
- Reinforcement Learning
- Synthetic Data
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