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| | | | | d2l.ai | |
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| | | | | www.teachfloor.com | |
| | | | | Explore the key differences between generative AI and predictive AI, their real-world applications, and how they can work together to unlock new possibilities in creative tasks and business forecasting. | |
| | | | | scorpil.com | |
| | | | | In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s. | |
| | | | | irisvanrooijcogsci.com | |
| | | I've been asked, in various roles1, to give my opinion on the challenges posed by Large Language Models (LLMs)2, also known as "stochastic parrots" (Bender, Gebru, McMillan-Major, & Shmitchell, 2021), for assessing academic writing assignments. A concern seems to be that students legitimately can use these systems and that then we would be unable to... | ||