What is Generative AI?
Generative AI creates new data that resembles the data it was trained on. It can generate text, images, audio, and other types of content, making it incredibly versatile.
Types of AI in Deep Learning
Deep learning models can be divided into two main types: discriminative and generative AI.
Discriminative AI:
Discriminative AI models focus on classifying or predicting outcomes based on input data. They typically use supervised learning with labeled datasets.
- Task: Classify or predict
- Learning: Supervised learning
- Data: Labeled datasets
Generative AI
_Generative AI _models work with large, unlabeled datasets to understand data patterns and generate new data that is similar to the training data.
- Task: Generate new data
- Learning: Unsupervised or semi-supervised learning
- Data: Large unlabeled datasets
Foundation Models
Foundation models are large-scale models trained on diverse data types and serve as the backbone for many AI applications. They can be fine-tuned for specific tasks.
Data Used: Text, images,** speech**, and other unstructured data
Applications:
Word completion
Question answering
Code completion
Entity extraction
Image captioning
Sentiment analysis
Object recognition
DALL-E : Image generation model.
whisper : voice based model.
Stay tuned for more insights on AI and feel free to share your thoughts!
*Happy Learning *:)
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