Memorizing Transformer
Author(s): Reza Yazdanfar Originally published on Towards AI. How To Scale Transformers’ Memory up to 262K Tokens With a Minor Change?Extending Transformers by memorizing up to 262K tokens This article is a fabulous attempt to leverage language models in memorizing information by …
This AI newsletter is all you need #39
Author(s): Towards AI Editorial Team Originally published on Towards AI. Hottest News This member-only story is on us. Upgrade to access all of Medium. The last week in AI was dominated by the sudden release of GPT-4 by OpenAI. We note 4 …
Generating Adversaries for CNNs: My Cat Is a Goldfish, so Dont Tax It.
Author(s): Akhil Theerthala Originally published on Towards AI. Discover how to fool CNNs with unexpected images, like a cat that’s actually a goldfish! Learn how to generate adversaries for convolutional neural networks (CNNs) with this informative article. AI has become ubiquitous in …
OpenChatKit is an Open Source Alternative to ChatGPT
Author(s): Jesus Rodriguez Originally published on Towards AI. The framework was created by the collaboration of Togeter, LAION, and Ontocord.Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, …
The Best YouTube Channels for Learning Data Science for Free in 2023
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: This member-only story is on us. Upgrade to access all of Medium. In recent years, data science has become an increasingly popular field due to the explosion of data and the …
Unlocking New Insights with Vision Transformer
Author(s): Anay Dongre Originally published on Towards AI. Image generated by DALL.E 2 The Vision Transformer (ViT) is a state-of-the-art deep learning model designed to process and interpret visual information. It utilizes a novel attention-based approach to identify key features and patterns …
Step-by-step Handwriting Words Recognition With PyTorch
Author(s): Rokas Liuberskis Originally published on Towards AI. Construct an accurate handwriting recognition model with PyTorch! Understand how to use the MLTU package to simplify the PyTorch models training pipeline and discover methods to enhance your model’s accuracy. This member-only story is …
PyTorch Wrapper to Build and Train Neural Networks
Author(s): Rokas Liuberskis Originally published on Towards AI. I will introduce the PyTorch Wrapper in this tutorial, saving us time when developing the PyTorch models training pipeline. We’ll be able to do this in blocks! The Most Advanced Data Science Roadmaps You’ve …
Maximizing the Impact of Data Augmentation: Effective Techniques and Best Practices
Author(s): Youssef Hosni Originally published on Towards AI. Data augmentation is a popular technique in machine learning that involves creating new data from existing data by making various modifications to it. These modifications could include adding noise, flipping images horizontally, or changing …
CLIP for Language-Image Representation
Author(s): Albert Nguyen Originally published on Towards AI. A multi-modal architecture bridges the gap between Natural Language and Visual understanding. Have you ever wondered how machines can understand the meaning behind a photograph? CLIP, the Contrastive Language-Image Pre-training model, is changing the …
This AI newsletter is all you need #38
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louis This week, AI continues to thrive under competitive pressure, and excitement is building for the arrival of GPT-4. Tech giants, generative AI startups, and …
How To Scale Transformers’ Memory up to 262K Tokens With a Minor Change?
Author(s): Reza Yazdanfar Originally published on Towards AI. Extending Transformers by memorizing up to 262K tokens This member-only story is on us. Upgrade to access all of Medium. This article is a fabulous attempt to leverage language models in memorizing information by …
A Comprehensive Introduction to Graph Neural Networks
Author(s): Anay Dongre Originally published on Towards AI. Graph Neural Networks (GNNs) is a type of neural network designed to operate on graph-structured data. In recent years, there has been a significant amount of research in the field of GNNs, and they …
Parametric ReLU | SELU | Activation Functions Part 2
Author(s): Shubham Koli Originally published on Towards AI. Parametric ReLU U+007C SELU U+007C Activation Functions Part 2 What is Parametric ReLU ? Rectified Linear Unit (ReLU) is an activation function in neural networks. It is a popular choice among developers and researchers …
Parametric ReLU | SELU | Activation Functions Part 2
Author(s): Shubham Koli Originally published on Towards AI. Parametric ReLU U+007C SELU U+007C Activation Functions Part 2 What is Parametric ReLU ? Rectified Linear Unit (ReLU) is an activation function in neural networks. It is a popular choice among developers and researchers …
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