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Protecting User Privacy in Web 3.0
Author(s): Peace Aisosa Originally published on Towards AI. Learn how Zero-Knowledge Proofs (ZKP) enable secure data sharing and protect user privacy in the context of Web 3.0. Image by Gerd Altmann from Pixabay As we move towards Web 3.0, protecting user data …
K-Nearest Neighbors from scratch
Author(s): Sayar Banerjee Originally published on Towards AI. It’s easier than you think Photo by Nina Strehl on Unsplash Hello readers! As a graduate student in business analytics, I’ve been busy with coursework, research, and assignments. However, after a brief hiatus, I’m …
Foundation Models: Scaling Large Language Models
Author(s): Luhui Hu Originally published on Towards AI. Inside generative AI and LLMs such as ChatGPT, GPT-4, Claude, Bard, LLaMA, ToolFormer, Google USM, PaLM, NeMo, Dolly, etc. Foundation — Tree of Life (Photo courtesy by author) The thrilling AI journey took off …
Efficient Strategies for Effective Stable Diffusion Prompt: A Comprehensive Guide
Author(s): Youssef Hosni Originally published on Towards AI. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, which is known as prompt. Developing a process to build good prompts is the first step every …
Better Together — Four Examples of How Rust Makes Python Better
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Leverage Rust to Optimize your Codebase by Boosting Performance and Safety Photo by K8 on Unsplash Introduction Python is a popular programming language known for its ease of use, flexibility, and readability. However, …
Is AI Going to Take Our Jobs?
Author(s): Guy Erez Originally published on Towards AI. An honest take on AI’s impact on the job market and our lives The Current State of Affairs This post doesn’t really need a preface. Literally, everyone, including my future mother-in-law (who’s still asking …
All Statistical Tests using Python: Mastering Statistics | Part — 1
Author(s): Simranjeet Singh Originally published on Towards AI. Top highlight All Statistical Tests using Python: Mastering Statistics U+007C Part — 1 Introduction Welcome to “Mastering Statistical Tests with Python: A Comprehensive Guide.” that will go over all the fundamental statistical tests and …
All Statistical Tests using Python: Mastering Statistics | Part — 1
Author(s): Simranjeet Singh Originally published on Towards AI. Top highlight All Statistical Tests using Python: Mastering Statistics U+007C Part — 1 Introduction Welcome to “Mastering Statistical Tests with Python: A Comprehensive Guide.” that will go over all the fundamental statistical tests and …
This AI newsletter is all you need #40
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louis With the surging demand for generative AI, this week saw preparatory developments for the next wave of AI. Companies are fast-tracking the development of …
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 …
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