Have you explored how this would be affected by low-rank pretraining approaches such as Galore? https://
arxiv.org/abs/2403.03507
MACHINE LEARNING
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Galore Low-Rank Pretraining Impact on Model Training
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Keras Models Publishing to Hugging Face Hub Integration
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Publish your models directly from Keras to @huggingface I've been wanting to do this for the longest time – basically for as long as i've used Keras. (Fun fact: our chatbot back in 2016 had many parts that were powered by Keras.) The ability to natively load from/to the Hub
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Machine Learning Cost Problem: Data and Model Optimization
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Dr. Ce Zhang, Professor in Computer Science at ETH Zürich delves into machine learning's cost problem, the interrelation of data and model problems, and how to discern valuable data problems from those that can needlessly consume time and resources. https://
buff.ly/3wfsYoS -
Text transformation and summarization over generative AI focus
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Yeah, I think the "generative" piece is somewhat distracting – for me the most interesting applications are mostly related to transformation – feeding in a larger amount of text and having it answer questions based on that, restructure it, summarize it etc
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Making NLP Accessible to All Languages: Bridging Global Gaps
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How do we make NLP accessible to all languages, not just the dominant few? Sebastian Ruder, a Research Scientist at Google leads a thought-provoking discussion on the future of NLP and its potential to bridge language gaps in technology. https://
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MobileViT Keras 3: Efficient Deep Learning for Resource-Constrained Devices
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🚀 New Blog Alert 🚀https://t.co/6qvZWahOhN
— Satya Mallick (@LearnOpenCV) 7 mai 2024
A major challenge in deep learning is not only designing powerful models but also making them accessible and efficient for practical use, especially on devices with limited computing power due to their rapid evolution.
As an… pic.twitter.com/JTaD5drYi8New Blog Alert https://
learnopencv.com/mobilevit-kera
s-3/
… A major challenge in deep learning is not only designing powerful models but also making them accessible and efficient for practical use, especially on devices with limited computing power due to their rapid evolution.
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Daily Content on Python, Data Science, Machine Learning, and MLOps
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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MIT Introduction to Deep Learning Course Overview
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5. MIT's Introduction to Deep Learning This course will give you a complete idea of Deep Learning, Computer vision, and Natural Language Processing
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Introduction to Data Science Fundamentals and Machine Learning Concepts
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3. Introduction To Data Science Learn all the fundamental concepts of Data Science and Machine Learning.
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Linear Algebra Fundamentals Essential for Machine Learning
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2. Linear Algebra Get an overview of the important and basic concepts of Linear Algebra required for Machine Learning