If you’re constantly on the go and juggling a million things from professional commitments to personal to-dos, ChatGPT is a godsend. It helps us craft e-mails, ideate new projects, clean up messy notes, draft interview questions… And we’ve barely scratched the surface.
The impact and influence of ChatGPT is undisputed. The only platform to have ever reached 1 million subscribers in three days (it took Netflix 3.5 years), it’s changed the way that we search for information and use the Internet.
AI has been pervasive for a while now, from the face ID on our phones to social media algorithms. But how exactly has ChatGPT been a game-changer, and how is it different from existing models?
Essentially, it is based on a deep-learning architecture called a transformer (FYI, GPT stands for Generative Pre-trained Transformer), which is a type of neural network. It is trained on a large subset of text data, and learns how to predict the next sequence of words. Once it’s been trained, it learns how to generate text using language patterns it has picked up.
As more data is input into the model, the more it improves its performance. It combines generative AI – that is, AI that can create new data – and Large Language Models (LLM) to use natural language processing techniques to generate text.
To truly understand the wide-ranging impact of AI, and whether it’ll be taking our jobs any time soon, we pick the brains of Jennifer Zhang, founder of Wiz. AI. Founded in 2019, Wiz.AI builds voice AI models to personalise customer service. Chances are that you might not have even realised that you’re speaking to an AI chatbot customer service representative, given how realistic some of them can sound.
This story is from the May 2023 edition of Her World Singapore.
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This story is from the May 2023 edition of Her World Singapore.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 8,500+ magazines and newspapers.
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