![]() The AI now has a grasp on the tone, but it still needs a topic so it can pull the appropriate data. Unlike your phone’s predictive text, which has only the context of the words you’re currently typing and your text history (which may not be relevant to what you’re writing now), Hyperwrite is smart enough to adapt to the tone of a piece once you tell it what writing style to adopt.įrom the dropdown menu, choose the type of content you need the AI to help you write: 2. This type of AI is most effective when it has a set of guidelines. Psst… you can try it out for free right now with a HyperWrite trial. The AI program is the third iteration of Generative Pre-Trained Transformer (GPT-3) AI writing software. Hyperwrite is leading the industry with an intuitive, highly adaptable predictive text feature called ThinkAhead that is helping creators speed write and generate topics at record rates. With the help of artificial intelligence, writers are reducing brain blocks, saving time, and cutting back on the amount of caffeine needed to power through a writing session. ![]() Yes… AI is even helping to write full novels. Content writers are partnering with AI to create high-quality articles, press releases, blog posts, and more. The game is known for providing hilariously nonsensical answers, which might lead you to believe that predictive text is unreliable for serious situations and everyday tasks.īut this level of predictive writing isn’t an accurate reflection of just how effective some AI programs can be. It starts with the first part of a sentence and relies on the predictive text feature to fill in the rest. You’ve probably played the predictive text game on your phone, right? AI in Content Marketing: How to Harness Smart Predictive Text to Write High-Quality Content The most recognizable form of predictive writing came with Android’s predictive text bar in its 2012 Jelly Bean 4.1 release, with Apple following suit two years later with QuickType for iOS 8.Īnd now, AI predictive text is helping writers revolutionize the content marketing industry. The system understood that the user wanted “the” instead of “tgd.” The letters s and z both required four presses apiece.īut phones with T9 (text on nine keys) predictive functionality were able to associate key dictionary words and allow users to press 8-4-3 only once. That three-letter word takes five taps, which was highly inefficient, especially for longer words that required many more button pushes. When texting the word the on a phone’s keypad, a user would have to press 8 once to select t, 4 twice to select h, and 3 twice to select e. In fact, the first known instance can be traced back to the 1940s with the Chinese typewriter created by Lin Yutang, which included actuating keys that suggested characters to follow the one selected.Įarly use of predictive text in mobile devices started before the first smartphone hit the market. Predictive text algorithms became popular with the rise of mobile devices, but they’re not a new concept. Predictions are made based on the context of words that have already been typed in addition to other factors, such as learning from your habits and preferences over time and, in the case of more sophisticated AI software, direct input of certain topics and stylistic desires. The feature has widely become a part of everyday use with smartphones. Predictive text is an AI program that offers word suggestions to complete your sentences, thereby saving typing time and keystrokes. One of the many ways AI is helping humans is the use of predictive text to aid writers in creating new content. From Netflix recommending your next series, to Google Maps analyzing traffic and construction detours to find your best route, to your banking app translating the handwriting on your mobile check deposit. No, robot servants haven’t become a household staple (yet).īut AI is helping everyday people in ways you might not expect. Artificial intelligence is changing the world.
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