ChatGPT wants to answer your queries, even if it doesn’t know the answer.
ChatGPT is adapted from OpenAI’s GPT-3.5 model but trained to provide more conversational answers. While GPT-3 in its original form simply predicts what text, ChatGPT tries to engage with users’ queries in a more human-like fashion. As you can see in the examples below, the results are often strikingly fluid, and ChatGPT is capable of engaging with a huge range of topics, demonstrating big improvements to chatbots seen even a few years ago.
” — that is, their knowledge is derived only from statistical regularities in their training data, rather than any human-like understanding of the world as complex and abstract system., the bot itself was created with the help of human trainers who ranked and rated the way early versions of the chatbot responded to queries. This information was then fed back into the system which tuned its answers to match trainers’ preferences .
Enough preamble, though: what can this thing actually do? Well, plenty of people have been testing it out with coding questions and claiming its answers are perfect: I’m not a programmer myself, so I won’t make a judgment on this specific case, but there are plenty of examples of ChatGPT confidently asserting obviously false information. Here’s computational biology professor Carl Bergstrom asking the bot to write a Wikipedia entry about his life, for example, which ChatGPT does with aplomb — while including several entirely false biographical details.
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