> Explainable AI (XAI), or Interpretable AI, or Explainable Machine
Learning (XML),[1] is artificial intelligence (AI) in which humans can
understand the decisions or predictions made by the AI.[2] It contrasts
with the "black box" concept in machine learning where even its designers
cannot
Should we expect the output of [ChatGPT] to be stable or deterministic
given the same prompt?
- Does [ChatGPT] "converge" on the same solutions, given the same inputs?
Where is there additional entropy in the algorithm or implementation?
- random seed(s)
- Hash randomization
- distributed
What are the expected limitations of [ChatGPT]?
What is "Prompt Engineering"?
[Prompt engineering - Wikipedia](
https://en.wikipedia.org/wiki/Prompt_engineering )
What lessons about technology reliance could you teach, in regards to
Clippy?
- "What is ChatGPT? Wrong answers only"
- Human_n:
Hi,
a student of mine was aware of this chatbot and asked it about a
class-assignment of his own accord. We program in Java with some extra
homemade library class used by some schools in our region.
The bot came up with a "solution" which was flawed in several respects:
1. It used some other
