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 …
Coupling Four AI Models to Deliver the Ultimate Experience in Immersive Visualization and Modeling
Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. Read on about how this new free app called HandMol achieves immersive, collaborative visualization and modeling of molecular structures by integrating 6 modern computer technologies -all in the web and multi-deviceHandMol integrates …
Quantifying the Electricity Consumption of Generative AI
Author(s): Prof Donal O’Mahony Originally published on Towards AI. Updated: December 11th, 2023 — Analysis revised in Appendix to reflect doubling of sales estimated by AMD Generative AI requires Graphics Processing Units (GPUs)— lots of them. The computations involved in machine learning …
Tips on What To Do With Your Language Model or API
Author(s): Louis Bouchard Originally published on Towards AI. Train, fine-tune, prompt, RAG… What to do?! Do you ever question yourself if you should be training from scratch, fine-tuning, doing prompt engineering, or retrieving augmented generation (RAG)? There are so many possibilities, but …
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 …
Deletion Vectors in Delta Tables: Speeding Up Operations in Databricks
Author(s): Muttineni Sai Rohith Originally published on Towards AI. Traditionally, Delta Lake supports only the Copy-On-Write paradigm, in which underlying data files are changed anytime a file has been written. Example: When a single row in a file is deleted, the entire …
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 …
Maximize the Taste of Your Pizza
Author(s): Optimization team Originally published on Towards AI. Many individuals have a fondness for pizza, with preferences ranging from spicy and vegan to vegetarian, pescetarian, carnivoran, machiavellian, or simply the classic cheese lovers. Consider the challenge faced by the Pizzeria owner, attempting …
Learn AI Together — Towards AI Community Newsletter #3
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! I’m thrilled to share this week’s podcast episode, where I chat with Ken Jee, a famous AI persona in the field. Ken’s journey in data science is super …
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 …
Stable Diffusion for Videos Explained
Author(s): Louis Bouchard Originally published on Towards AI. Deep dive into Stable Video Diffusion Receive my blogs and more on my AI newsletter and receive free gifts, such as my secrets to success on YouTube! https://www.youtube.com/embed/TVcE1Ic05lw What do all recent super-powerful image …
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