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
April 23-24, 2025
18th International Conference on Tissue Engineering and Regenerative Medicine
Aix-en-Provence, France
May 14-15, 2025
4th International conference on Information Technology, Data Science and Digital Health
Paris, France
July 28-29, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Vancouver, Canada
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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