Gartner has published their guide “How Should CMOs Respond to ChatGPT Today?”. PDF metadata confirms Creation Date: April 19. But it seems to written around “ChatGPT-on-GPT-3.5”, so basically technology from 2020:
Points like
Numerical challenges. Large language models like ChatGPT converse by predicting what’s next in a text
seem not just a little dusty with what’s really current. 😉 But it’s important to know what “the state of the art” in the public mind is, so thanks a lot to the originator for sharing! One striking example is the emphasis to evaluate skills based on “prompt engineering”. This has become of less importance, I believe.
(There was a good blog post about the “predicting what’s next in a text” myth recently, but I misplaced it. If someone remembers, please share… I find this view perpetuated all too often)
A colleague also shared How to use AI to do practical stuff: A new guide. Because he likes ultimate precision as much as I do, I added that Bing is based on GPT-4, but is behind actual GPT-4 in terms of truthfulness according to a comparison done recently by c’t magazine. These articles are also very worth reading otherwise, e.g. reflecting on how US-American norms are advanced by generative AI while ours are being disregarded.