In this discussion, MKBHD compared Google's Bard and Bing's ChatGPT, two advanced AI language models designed to answer questions and perform tasks. MKBHD evaluated them in several categories, including simple questions, complex questions, performing tasks, information summary, and creativity.
For simple questions, both models provided accurate and relevant information. Complex questions saw Bing's ChatGPT performing better due to its ability to provide more nuanced and detailed answers, especially when the creative slider was adjusted. Bing also tends to cite its sources more often than Bard.
In the performing tasks category, Bing emerged as the winner, as it could handle more complicated tasks, such as writing and debugging code, while Bard was faster and simpler for basic tasks. The information summary category favored Bard, as it could provide more concise summaries, although both models could improve in this aspect.
Creativity was an interesting category to explore. Bing's ChatGPT seemed more capable of producing creative and engaging content, while Bard was more conservative, possibly due to Google's concerns about the potential risks associated with the AI going too far.
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In conclusion, Bing's ChatGPT and Google's Bard both have their strengths and weaknesses. Bing tends to be more customizable, nuanced, and creative, making it more suitable for complex questions and tasks. On the other hand, Bard is faster, simpler, and better at summarizing information. As these language models continue to evolve and improve, the gap between them may shrink or grow, making it important to evaluate their performance at different points in time.
One reply on “MKBHD’s view on Brad vs chatGPT”
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