Prompting GPT-4 For Chart Image Analysis: Is It Up To The Challenge?
Author(s): John Loewen, PhD Originally published on Towards AI. Prompting GPT-4 for CSV data from line and bar chart imagesDall-E 2: impressionist painting in vivid color of a person looking at a chart on a computer screen One of the great new …
MultiPlanar UNet: One UNet for all 3-D segmentation Tasks (even if you have less data)- Low Code Approach
Author(s): Sumit Pandey Originally published on Towards AI. After beginning my Ph.D., the first real-world medical image segmentation project I encountered involved knee MRI segmentation. I had only 39 labeled MRI images for training and validation and 20 labeled images for a …
How the New OpenAI’s GPTs Service Could Be a Game-Changer for Small Businesses
Author(s): Andrew Akhigbe Originally published on Towards AI. OpenAI has recently announced a groundbreaking product, GPTs, which would allow users without any software development experience to tailor ChatGPT for particular tasks. This could be a game changer for small businesses.Source: Image by …
DINOv2 for Custom Dataset Segmentation: A Comprehensive Tutorial.
Author(s): Sumit Pandey Originally published on Towards AI. After YOLOv8 and SAM (Segment Anything Model), the most anticipated computer vision model is DINOv2. I got the motivation for this tutorial from this GitHub repository: https://github.com/NielsRogge/Transformers-Tutorials/tree/master, while running the code, I found 2 …
Decoding Statistical Power: The Key to Precision in Marketing Studies
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. Marketing Measurement-4: A layman’s guide to Statistical Power and its interplay with other factors while measuring marketing effectiveness. Top highlight Photo by Thomas Kelley on Unsplash This article is a …
Using GPTs, OpenAI’s No-Code Builder of Personal AI Apps
Author(s): Jorge Alcántara Barroso Originally published on Towards AI. AI just got personal! OpenAI’s new user tool lets you build your own ChatGPT — no coding, just pure prompting. Ready to build an AI that could go viral in the GPT Store …
Behind the AI Revolution: Paige Bailey Discusses Google’s PaLM 2 and More
Author(s): Louis Bouchard Originally published on Towards AI. From Microsoft GitHub to Google DeepMind: Paige Bailey Welcome, (upcoming) listeners! I’m thrilled to bring you this new episode. Today, I received none other than Paige Bailey, a trailblazer in AI product management and …
How To Set up a NL2SQL System With Azure OpenAI Studio
Author(s): Pere Martra Originally published on Towards AI. This article is part of a free course about Large Language Models available on GitHub. Created by Author with Dall-E2 In the previous article, we learned how to set up a prompt able to …
SALMONN, The First AI Model that Hears As Humans Do
Author(s): Ignacio de Gregorio Originally published on Towards AI. The Path Toward Human-Like Senses Continues People often underestimate the importance of hearing to function correctly in our world and, more importantly, as an essential tool for learning. As the famed Helen Keller …
Building & Training GAN Model From Scratch In Python
Author(s): Youssef Hosni Originally published on Towards AI. Develop Your Own Generative Adversarial Networks with This Complete Python Tutorial GANs are a powerful type of generative model that can synthesize new and realistic images. By walking through the complete implementation, readers will …
Inside Zephyr-7B: HuggingFace’s Hyper-Optimized LLM that Continues to Outperform Larger Models
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using DALL-E 3 I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to …
Start with Large Language Models (LLMs) in 2023
Author(s): Louis Bouchard Originally published on Towards AI. A complete guide to start and improve your LLM skills in 2023 without an advanced background in the field and stay up-to-date with the latest news and state-of-the-art techniques! First, if you have 0 …
How To Beat Odds As an AI Startup?
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. I am going to be blunt: The picture is busy, but there is a ray of sunshine Photo by MIOPS Trigger on Unsplash According to CB Insights 2023 is already a …
Ten Patterns and Antipatterns of Deep Learning Experimentation
Author(s): Dmitrii Khizbullin Originally published on Towards AI. The image is generated by DALL-E 3 from the author’s prompt. Introduction In this article, I present a list of patterns and antipatterns I have collected from 10 years of experience as a deep …
Regression, Personalisation, and the Kaggle Syndrome
Author(s): Kelvin Lu Originally published on Towards AI. Photo by Artem Beliaikin on Unsplash Recently, I worked on a prediction case study using the Kaggle Black Friday Prediction dataset, which was created six years ago and has been downloaded over 32,000 times. …
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