Transformer Models

A major breakthrough in Deep Learning came with Transformer Models. This breakthrough is why AI suddenly got so good at understanding and generating human-like text.

These models, like GPT and BERT, introduced innovations such as:

• Attention Mechanisms – allowing the model to focus on relevant parts of the input rather than processing everything equally
  Parallel Processing – enabling faster training by processing multiple pieces of data simultaneously

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Think of the attention mechanism like a student focusing only on key points in a text to summarise the main idea quickly.

Transformers are really good at recognising and generating language, which is why they are the foundation of today's Large Language Models (LLMs).