In artificial intelligence and natural language processing (NLP), a token is a single unit of text used by language models to process and generate information. Tokens can represent words, subwords, characters, or even punctuation marks, depending on how the model is designed. During training and inference, AI models break text into tokens to understand structure, meaning, and context. For example, a short sentence might be divided into several tokens that the model analyzes sequentially to predict the next word or generate coherent text. The concept of tokens is essential for managing input length, optimizing performance, and calculating costs in large language models.
OpenAI’s next version of its Sora video generator will default to including copyrighted content unless owners explicitly opt out – drawing criticism from media creators.
OpenAI introduces ChatGPT Pulse, a proactive feature delivering daily updates and suggestions directly in the app, positioning it as a potential challenger to social media feeds.
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.