- GenAI
- Natural Machine Translation
- Seq2Seq Architecture
- Encoder-Decoder-based RNN
- Transformer vs RNN
- Attention all, you need
Generative AI (GenAI) represents a significant leap in artificial intelligence, moving beyond simply analyzing existing data to creating entirely new content. Here’s a concise overview:
- Core Function:
- GenAI systems are designed to produce original outputs, such as text, images, audio, and code, based on the patterns they learn from vast datasets.
- Key Difference:
- Unlike traditional AI, which focuses on recognition or classification, GenAI focuses on synthesis and creation.
- How it Works:
- It utilizes advanced machine learning techniques, particularly deep learning and neural networks, to understand and replicate the structure of the data it’s trained on.
- Applications:
- GenAI is transforming various industries, with applications ranging from:
- Content creation (writing, art, music)
- Code generation
- Product design
- Data synthesis
- GenAI is transforming various industries, with applications ranging from:
- Impact:
- GenAi is changing how people create, and interact with digital content.
- Natural Machine Translation, Seq2Seq Architecture, Encoder-Decoder-based RNN,
- Transformer vs RNN, Attention all, you need
