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How To Use TPUs in Kaggle / Google Colab To Train a GAN in the Blink of An Eye.
Author(s): Pere Martra Originally published on Towards AI. Looking to speed up your GAN training? In this article, I’ll show you how to utilize TPUs in Kaggle or Google Colab to drastically reduce training time, allowing you to generate high-quality images in …
A Guide to Computational Linguistics and Conversational AI
Author(s): Suvrat Arora Originally published on Towards AI. Hey Siri, How’s the weather today? — if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. Source: Creative Commons In recent years, we have seen …
Acheiving 33rd Rank (of 186) in a NASA Harvest Field Boundary Detection Challenge in 50 Epochs
Author(s): Ronny Polle Originally published on Towards AI. A full description with ablations and code. source : Zindi.Africa Outline 1. Problem Statement 2. Approach 3. Key Takeaways Problem Statement NASA Harvest Field Boundary Detection challenge is a machine learning challenge organized by …
Building Customized Chatbots for the Web Using gpt-3.5-turbo, the Real Language Model Behind ChatGPT
Author(s): LucianoSphere Originally published on Towards AI. Summary, source code ready to use, and an example chatbot to go play with right away OpenAI released yesterday API endpoints for Whisper, their speech recognition engine, and for GPT-3.5-turbo, which, as explained on their …
Demystifying Decision Trees
Author(s): Andrea Ianni Originally published on Towards AI. Explained from scratch, step by step Some time ago, I found myself having to explain the tree-based algorithms to a person who was into mathematics… but with zero knowledge of data science. So, I …
StyleGAN2: Improve the Quality of StyleGAN
Author(s): Albert Nguyen Originally published on Towards AI. This post is in the series StyleGAN architectures. Recap: StyleGAN achieves style-based image generation by disentangling styles from randomness. It allows us to control the synthesis by scaling the size and localizing the latent …
Python for Natural Language Processing: A Beginner’s Guide
Author(s): Sarang S Originally published on Towards AI. Python for Natural Language Processing: A Beginner’s Guide Introduction Natural Language Processing (NLP) is the study of making natural human language readable to computer programs. It is a fast-expanding field with important applications in …
A Comprehensive Introduction to Machine Learning Experiment Tracking
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Machine learning is a rapidly evolving field that has shown incredible promise in revolutionizing various industries, from healthcare to finance and beyond. However, conducting machine learning experiments is a complex and …
Chain-of-Thought Reasoning
Author(s): Clemens Jarnach ⚡️ Originally published on Towards AI. How Multimodal Chain-of-Thought Reasoning Can Improve Large Language Models and your ChatGPT prompting too Photo by DeepMind on Unsplash The Generative Pre-trained Transformer (GPT) model, which is currently used by ChatGPT, has become …
Chain-of-Thought Reasoning
Author(s): Clemens Jarnach ⚡️ Originally published on Towards AI. How Multimodal Chain-of-Thought Reasoning Can Improve Large Language Models and your ChatGPT prompting too Photo by DeepMind on Unsplash The Generative Pre-trained Transformer (GPT) model, which is currently used by ChatGPT, has become …
10 Best Python Libraries for Machine Learning and AI
Author(s): Claire D. Costa Originally published on Towards AI. Photo by RealToughCandy.com: Pexels At times, Python developers might encounter situations where they need to use a similar set of codes repeatedly for an application. In such cases, they prefer using the Python …
10 Best Python Libraries for Machine Learning and AI
Author(s): Claire D. Costa Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by RealToughCandy.com: Pexels At times, Python developers might encounter situations where they need to use a similar set of codes …
A Comprehensive Guide for Handling Outliers
Author(s): Rohini Vaidya Originally published on Towards AI. Analytics Vidhya Part: 2 In this second part of the statistics series, you will learn about the outliers in the dataset. What is an outlier in a dataset, different types of outliers, what is …
Correlation and Causation: What are the Differences?
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Learn the differences between both concepts Photo by Sam Moghadam Khamseh on Unsplash In statistics and data science, we often encounter correlation and causation terms. Albeit, the correlation was mentioned more often …
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 …
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