This is what you need to know about generative AI

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This is what you need to know about generative AI
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Like other forms of artificial intelligence, generative AI learns how to take action from past data

Generative artificial intelligence has become a buzzword in 2023, capturing the public’s fancy and sparking a rush among Microsoft and Alphabet to launch products with technology they believe will change the nature of work.Like other forms of artificial intelligence, generative AI learns how to take actions from past data. It creates brand new content — a text, an image, even computer code — based on that training, instead of simply categorising or identifying data like other AI.

GPT-4, a newer model that OpenAI announced this week, is “multimodal” because it can perceive not only text but images as well. OpenAI's president demonstrated on Tuesday how it could take a photo of a hand-drawn mock-up for a website he wanted to build, and from that generate a real one.The technology is helpful for creating a first-draft of marketing copy, for instance, though it may require cleanup because it isn't perfect.

At the same time, the technology itself is prone to making mistakes. Factual inaccuracies touted confidently by AI, called “hallucinations,” and responses that seem erratic like professing love to a user are all reasons why companies have aimed to test the technology before making it widely available.Those two companies are at the forefront of research and investment in large language models, as well as the biggest to put generative AI into widely used software such as Gmail and Microsoft Word.

Musk has expressed concerns about the future of AI and batted for a regulatory authority to ensure development of the technology serves public interest.

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