Advanced Techniques for Prompt Engineering – VIDEO This looks like a comprehensive video about prompt engineering. It covers a number of techniques used in prompting large language models. Watch the video here: https://
youtube.com/watch?v=kr5X3Q
vPzvM
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@jeande_d
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Advanced Techniques for Prompt Engineering Video Tutorial
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Resources for Instructors: Understanding Deep Learning Book
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There are also resources for instructors. Understanding Deep Learning: https://
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Understanding Deep Learning – Comprehensive Neural Network Textbook Released
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Understanding Deep Learning – BOOK Wow, this is such a great deep learning textbook. Covers almost all fundamental neural network techniques and algorithms. The content outline is really nice. Get the book draft: https://
github.com/udlbook/udlboo
k/releases/download/v1.0.4/UnderstandingDeepLearning_08_05_23_C.pdf
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Advanced Computer Vision Course at UCF Center for Research
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Advanced Computer Vision – UCF Center for Research in Computer Vision, Spring 2023 This is an excellent course on advanced computer vision. Covers recent developments in computer vision, topics like image generation and vision-language learning. I like that the course go
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Input Text Label Typo One Word Ahead Detection
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Typo: input text ⃪ label (label is 1 word ahead of input text)
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Language Modelling Success: Next Token Prediction and Transformer Models
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Language modelling has wildly succeeded due to current objective functions(most notably, next token prediction) and evidently powerful, efficient and scalable models(ie. Transformer) . With next token prediction, you have both input text and labels from same text(input is 1 word
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ViT Vision Transformer designed by Dosovitskiy and Google Brain researchers
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ViT was designed by Dosovitskiy, @giffmana
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Vision Transformer Paper Explained – New Video Tutorial
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Vision Transformer(ViT) Paper Explained – A NEW VIDEO ViT paper introduced transformers for large-scale image recognition. It is one of the influential papers in visual representation learning and modern computer vision in general. In my new video, we discuss ViT paper:
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Code-First Resources for Learning Deep Learning and Neural Networks
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Thanks. Try code-first courses or pick up a book that emphasizes codes over math. There are many examples: Karpathy neural networks: zero to hero(new!!), one shared above by Sebastian Ras., practical deep learning for coders FAST dot AI, Chollet deep learning with python book.
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Free Deep Learning Course with Lightning AI: Fundamentals and Modern Approaches
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Deep Learning Fundamentals – Lightning AI This is a free deep learning course that covers foundational techniques and algorithms in deep learning and modern approaches. I like the way course is conducted: 10 units with bit-sized videos, quizzes, and exercises. Super