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Sign in to searchAI Tokens: The Foundation of Modern Artificial Intelligence and Emerging Global Competition
AI tokens represent the smallest unit of data processed by Large Language Models (LLMs), functioning as the fundamental building blocks of AI communication. Instead of reading full sentences, AI systems break text into tokens—words, sub-words, or even characters—which are then converted into numerical representations for computation. This tokenization process enables models to predict and generate language efficiently. Typically, 1,000 tokens correspond to around 750 words, making tokens the basis for both processing and pricing in AI services.
Historically, tokenization evolved with advancements in Natural Language Processing (NLP), moving from simple word-based systems to sophisticated sub-word and multimodal token systems. Modern AI models now process not only text but also images, audio, and video as tokens, expanding the scope of AI applications across domains.
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Explore how AI tokens drive LLM efficiency and accessibility, the global token price war between China and the US, and India's path to indigenous AI development.
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