Katelyn Chedraoui
Katelyn writes about social media and online services, with an eye for how AI can work for you.
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An incorrect or made-up response from generative AI but stated confidently as fact.
Apple Intelligence is the name Apple has given to its generative AI tools, which are gradually being introduced into certain iPhones, iPads and Macs: the iPhone 16 line, iPhone 15 Pro models, and Macs and iPads with M-series chips. The first, modest set of features arrived in October 2024 as part of iOS 18.1, iPadOS 18.1 and MacOS Sequoia 15.1, and included some writing tools, a Clean Up tool for photos and an upgrade to Siri.
Learn moreGPT-4o (the o is for "omni") is the May 2024 update from OpenAI to the AI engine that powers ChatGPT, and it's two times faster than GPT-4 Turbo, which debuted in late 2023. Your prompts can include any combination of text, audio, images and video, and the responses generated will be able to include similar combinations. According to OpenAI, GPT-4o brings "GPT-4-level intelligence to everything" including the free version of ChatGPT, though paying customers will get five times the capacity. New real-time speech functionality means you can interact with ChatGPT in a more conversational way.
Learn moreTokens are pieces of words that an LLM evaluates to understand the broader context of a query. Each token is made up of roughly four characters in English. They can be letters, numbers, spaces, special characters and more. For example, the sentence "You miss 100% of the shots you don't take" consists of 11 tokens. (If you swap out the percentage symbol for the word "percent," the count increases to 13 tokens.) Tokens are used both as inputs and outputs. When you input a query into an AI model, the model breaks down the words into tokens, analyzes them and delivers a response in tokens that are then converted into words you'll understand.
Learn moreA generative AI model "hallucinates" when it delivers false or misleading information. This happens because of how the models are trained, on massive amounts of data, like articles, books, code and social media posts. In creating its response to a prompt, the AI makes inferences about what words should come next, but it lacks contextual information so it may generate wording that seems plausible but isn't true. Hallucinations can also result from improper training and/or biased or insufficient data, which leave the model unprepared to answer certain questions.
Learn moreOur writers and editors know the subject cold. Here are CNET's leading authorities on AI.
Katelyn writes about social media and online services, with an eye for how AI can work for you.
Imad covers Google and all its AI products, as well as those from Microsoft, OpenAI and more.
An expert in mobile tech, Lisa has the lowdown on how AI is showing up in the phones in your pocket.