Tokens: The Key to Advanced Language Models

Rachana Saha

Tokens are vital for Large Language Models, breaking text into manageable units for language processing.

The number of tokens reflects an LLM's capacity to handle complex language patterns.

Alphabet's upgrade doubles its AI model's context window to 2 million tokens for better input processing.

More tokens enable LLMs to produce natural, contextually fitting text akin to human writing.

Developing top-tier LLMs requires extensive token-based architectures and computing power, advancing NLP for improved human-AI interaction.