Data Visuals Gone Bad: Avoiding Common GPT-4 Prompting Pitfalls
Author(s): John Loewen, PhD Originally published on Towards AI. GPT-4 prompting tips for best-practices data visualizationsDall-E 2 image: impressionist painting of a person sitting at a computer visualizing data ChatGPT has greatly simplified the process for analyzing and visualizing datasets. With the …
Top Important Computer Vision Papers for the Week from 27/11 to 03/12
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, …
6 Free Practical LLMs Notebooks to Get Your Hands Started with LLM Applications
Author(s): Youssef Hosni Originally published on Towards AI. Embark on an exhilarating journey into the limitless possibilities of Large Language Models (LLMs) with this article, offering an exclusive lineup of six free and hands-on notebooks. Dive into the fascinating universe of LLM …
Run Local LLM Inference10x Faster (244 TOK/s): PyTorch II
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. There are many ways to run, here is a quick overview TLDR: The Pytorch team came up with a way of optimizing purely by building ground-up optimizations below Torch.compile: A compiler …
(Bio)Image Analysis with Python: Everything You Need to Know about Histograms
Author(s): MicroBioscopicData Originally published on Towards AI. Learn Computer Vision Concepts Using Python Welcome to our series (Bio)Image Analysis with Python: Everything You Need to Know. In this tutorial, we dive into Histograms, an important tool, and discover how it plays a …
Build a License Plate Recognition App using Streamlit
Author(s): Lu Zhenna Originally published on Towards AI. Summary This article briefly walks through a solution to extract text from variable-line license plates using the pre-trained model and explains step-by-step on how to build a web app using Streamlit to deliver this …
Linear Algebra for Data Science With Python
Author(s): Karthik Bhandary Originally published on Towards AI. Image from pixabay Linear Algebra, a branch of mathematics, is very useful in Data Science. We can mathematically operate on large amounts of data by using Linear Algebra. Most algorithms used in ML use …
Inventory Optimization with Dynamic Programming in Less than 100 Lines of Python Code
Author(s): Peyman Kor Originally published on Towards AI. Inventory Optimization with Dynamic Programming in Less than 100 Lines of Python Code How to master inventory decisions using dynamic programming for maximum profitability Photo by Christin Hume on Unsplash Intro Inventory optimization is …
Insanely Fast No-Code Python Folium Maps With Nifty GPT-4 Prompting
Author(s): John Loewen, PhD Originally published on Towards AI. “Global Happiness” averages and trends in less than 15 minutesDall-E 2 image: impressionist oil painting of global happiness trends With careful GPT-4 prompting, complex data visualization problems (including map creation) can be solved …
Pandas cut vs. qcut Explained Clearly (Finally)
Author(s): Bex T. Originally published on Towards AI. How to customarily bin data in PandasPhoto by Karan Bhatia on Unsplash “What the heck is this?” That is the reaction beginners often get when they look at the output of some hard pandas …
Executive Overview of Random Forest Models
Author(s): Adam Ross Nelson Originally published on Towards AI. Seedling to Canopy: Growth Random Forests in Machine Learning At the top of this article is a reminder that you don’t have to be a computer scientist to do data science. Actually, you …
Top Important LLM Papers for the Week from 20/11 to 26/11
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, it’s important for researchers and engineers to stay informed …
Demystifying Time Series Outliers: 2/4
Author(s): Andrea Ianni Originally published on Towards AI. Unraveling Outliers in Soccer’s Social Media Time Series After distributing coffee to everyone, Morelli, Zappa and I revisit what happened yesterday: Rovella and the Rebel Data pub.towardsai.net We began with the #rovella-related tweets, a …
The Largest LLM Benchmarking Suite: MEGAVERSE
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Now, Benchmarking extends over 81 languages and even 2 multimodal datasets A quick review of the research published by Microsoft’s Sunayana Sitaram. As the LLMs become more advanced and more comprehensive, …
This AI newsletter is all you need #75
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week saw the conclusion of the drama at OpenAI with the return of Sam Altman and Greg Brockman to OpenAI and the appointment …
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