What is a token Bert?

The process begins with the models receiving tokens as their primary input. These tokens represent words, phrases, or even entire sentences, depending on the context and the specific requirements of the model.

Tokens occupy a pivotal role in the intricate landscape of Natural Language Processing (NLP) and Large Language Models (LLMs). They form the cornerstone upon which these advanced systems are built, serving as the fundamental units of communication and understanding.

In the realm of NLP and LLMs such as BERT, GPT, and T5, tokens are not merely placeholders but essential building blocks. They are the raw material that these models ingest, analyze, and subsequently transform into meaningful outputs.

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Once ingested, the models meticulously process these tokens, leveraging their deep learning algorithms to decipher the nuances and intricacies of the language. This involves understanding the relationships between tokens, their meanings, and how they contribute to the overall message.