Transformer technology is a type of machine learning model designed to process and generate sequences of data, such as text. It uses a mechanism called self-attention, which allows the model to weigh the importance of different words in a sentence, enabling it to understand context and relationships more effectively. This technology has revolutionized natural language processing tasks, including translation and text generation. Originally introduced in the paper “Attention is All You Need” by researchers at Google, transformers have become the foundation for many advanced models, including BERT and GPT. Their ability to handle large datasets and parallelize computations makes them efficient for training on diverse applications, from chatbots to content creation.