Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks(2024.06.04) Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models(2
Bayes Theorem in Machine Learning Decision Tree Algorithm in Machine Learning Using Sklearn Top 8 Machine Learning Applications – ML Application Examples What is Epoch in Machine Learning? 15 Most Popular Machine Learning Tools in 2025 Google Cloud Machine Learning ( ML ) Tutorial Gradient Boosting ...
Kullback-Leibler Divergence (KL Divergence) Loss, also known as KL Loss, is a mathematical measure used in machine learning and statistics to quantify the difference between two probability distributions. In the context of loss functions, KL divergence loss is often utilized in tasks where you want...
Learner-centered EAP practices: Managing agenda in tutorial interaction 2024, Journal of English for Academic Purposes Citation Excerpt : The tutor orients to the gesture by providing a potential word (‘limited’) that the gesture represents in this context (line 25) and by repeating the word ...
A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution: [1] Vincent Dumoulin, Francesco Visin -A guide to convolution arithmetic for deep learning(BibTe...
This study attempts to explore the relationship between the two mediator variables effective learning engagement and educational social media (SM) usage and the study’s outcome measures, which include student satisfaction and learning performance. The distribution of a self-determination theory questionnair...
The discoursal context All the talk about AI and DEI in ELT is part of a broader discourse: it reflects and reinforces this broader discourse. Here are a few examples of this broader discourse. At next year’s BETT show (the number one educational technology sales event), the top ‘global...
If we go too fast, we might overshoot the minima and keep bouncing along the ridges of the “valley” without ever reaching it. Go too slow, and the training might turn out to be too long to be feasible at all. Even if that’s not the case, very slow learning rates make the algor...
Sample data for this example is theAirlineDemoSmall.xdffile with a local compute context. For instructions on how to import this data set, see the tutorial inPractice data import and exploration. Chunking is supported on Machine Learning Server, but not on the free R Client. Becau...
To conclude, we observed no credible evidence for a beneficial effect of L-dopa (vs. Haloperidol) on reinforcement learning in a reward context, as well as the proposed mechanistic account of an enhanced striatal prediction error response mediating this effect. Differences in experimental design betw...