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Stack Overflow is a question-and-answer website for computer programmers. It is the flagship site of the Stack Exchange Network . [ 2 ] [ 3 ] [ 4 ] It was created in 2008 by Jeff Atwood and Joel Spolsky .
In March 2023, Quizlet started to incorporate AI features with the release "Q-Chat", a virtual AI tutor powered by OpenAI's ChatGPT API. [24] [25] [26] Quizlet launched four additional AI powered features in August 2023 to assist with student learning. [27] [28] In July 2024, Kurt Beidler, the former co-CEO of Zwift, joined Quizlet as the new ...
In 2008, together with Spolsky, Atwood founded Stack Overflow, a programming question-and-answer website. [9] The site was followed by Server Fault for system administrators and Super User for general computer-related questions, eventually becoming the Stack Exchange network which includes many Q&A websites about topics decided on by the community.
Post a comment on Reddit, answer coding questions on Stack Overflow, edit a Wikipedia entry or share a baby photo on your public Facebook or Instagram feed and you are also helping to train the ...
In semantics, pragmatics, and philosophy of language, the common ground of a conversation is the set of propositions that the interlocutors have agreed to treat as true. For a proposition to be in the common ground, it must be common knowledge in the conversational context.
As of March 2023, the three most actively viewed sites in the network are Stack Overflow (which focuses on computer programming), Unix & Linux, and Mathematics. [6] All sites in the network are modeled after the initial site Stack Overflow which was created by Jeff Atwood and Joel Spolsky in 2008. Further Q&A sites in the network are ...
Stack overflow may also refer to: Stack buffer overflow , when a program writes to a memory address on the program's call stack outside of the intended data structure; usually a fixed length buffer Stack Overflow , a question-and-answer website on the topic of computer programming
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]