Deep dive into the architectural advancements of neural networks powering today's most advanced AI models.
From Perceptrons to Transformers
Neural networks have come a long way since the early days of simple perceptrons. Today, architectures like Transformers are the backbone of the Generative AI revolution.
Key Milestones
- <strong>CNNs (Convolutional Neural Networks):</strong> Revolutionized computer vision.
- <strong>RNNs/LSTMs:</strong> Enabled sequential data processing (speech, text).
- <strong>Transformers:</strong> The attention mechanism allowed for massive parallelization and context understanding, leading to models like GPT and BERT.
The Future
Research is now moving towards more efficient, sparse, and biologically plausible architectures that consume less energy while delivering higher performance.