In the early days of February, Alphabet Inc held a presentation of its new AI chatbot christened 'Bard'. It came on the heels of Microsoft's hugely successful demonstration (see YouTube video at https://bit.ly/3YM9qRm) of its new Al-enabled search engine that combined the power of Open AI's chatbot, ChatGPT, with Bing, Microsoft's not-very-popular search engine. Suddenly, the leader was running scared and the presentation by Alphabet was meant to allay fears that they were not falling behind in technology. Instead, Bard answered a question wrong and Alphabet lost $100 billion in market capitalisation.
The video (referred above) of Bing integrated with ChatGPT is a must-watch. If you are looking only for the features, at least watch Yusuf Mehdi from 12:20 minutes to 38:40. But the integration of search and an AI chatbot has powerful implications for businesses and jobs going forward. As an example, all that follows in this article has been auto-generated by a relatively less sophisticated ChatGPT version available on the web for regular users. As you will see, it is still relatively unsophisticated and repetitive, yet offers an insight into what the bot can do as the AI becomes more powerful with time. Hold on to your seats!
Can you be a bit more technical about how GPT operates?
Sure, here's a more technical explanation of how GPT (Generative Pre-trained Transformer) operates:
GPT is a deep learning model that uses a transformer architecture to understand and generate human-like text. The transformer architecture is a type of neural network that is specifically designed for sequence-to-sequence learning, which means it takes an input sequence and generates an output sequence. The transformer architecture is composed of a stack of layers that each contain a multi-head attention mechanism and a feedforward neural network.
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