What Should AI Learn from the Randomness in Financial Data?
Author(s): Shunyu (Andy) Tang Originally published on Towards AI. The Magic Power of Voting to Increase the Accuracy of Predictions from 60% to 90% Photo by Paul Wong on Unsplash Artificial Intelligence (AI) has entered an exponential growth phase since 2012. If …
Meet GPTCache: A New Framework that Brings Caching to LLM Applications
Author(s): Jesus Rodriguez Originally published on Towards AI. GPTCache expands on the ideas of LLM memory by providing a general-purpose framework to store information in LLM workflows. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 …
Forget LAMP Stack: LLM Stack is Here!
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Huggingface has positioned itself as the new standard stack in the NLP/LLM ecosystem. Now the companies are asking for an LLM stack. Top highlight On the may of last year, Huggingface …
Bootstrap: A Beginner-Friendly Introduction With a Python example
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Bootstrapping and the central limit theorem Photo by Glenn Carstens-Peters on Unsplash The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used …
Extracting the potential of PYNLPL: A Step-by-Step Guide
Author(s): Tushar Aggarwal Originally published on Towards AI. {This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of PYNLPL} Image crafted by Author Amidst the cacophony of information inundation, rest assured that this …
20 Most Elegant NumPy Tricks I Found After 3 Years of Use
Author(s): Bex T. Originally published on Towards AI. Become a NumPy samurai Image by me with Midjourney Every data scientist admires someone. For some, it might be people who create killer data visualizations; for others, it is simply anyone who answers their …
How does Active Learning Work?
Author(s): Louis Bouchard Originally published on Towards AI. Active learning explained in 5 minutes Originally published on louisbouchard.ai, read it 2 days before on my blog! We now deal with immense amounts of data thanks to the superpowers of large models, including …
Meet I-JEPA: Meta AI’s First Super Model Based on their Theory of Autonomous Intelligence
Author(s): Jesus Rodriguez Originally published on Towards AI. The new model is able to make predictions based on abstract predictions instead of pixel-level detail. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is …
Why the AI Hype Compels Me And Why These Two Major Threats Concern Me
Author(s): Ken Jee Originally published on Towards AI. As artificial intelligence exerts a groundbreaking impact on our daily lives, we are at a crossroads: adapt to create new opportunities or risk falling behind. What kinds of challenges does this new reality potentially …
How Much AI is in the Apple Vision Pro?
Author(s): Rafe Brena, Ph.D. Originally published on Towards AI. Not enough AI yet Photo by Sumudu Mohottige on Unsplash At this point, it’s hard not to be aware of the Apple Vision Pro, a new-of-its-kind AR and VR device announced by Apple …
Exogenous Variables in Time Series Forecasting with Facebook Prophet
Author(s): David Andres Originally published on Towards AI. Photo by John Fowler on Unsplash In the previous part of our Facebook Prophet series, we covered how to model the seasonality component. You should also recall the first part, in which we dealt …
5 Powerful Cross-Validation Methods to Skyrocket Robustness of Your ML Models
Author(s): Bex T. Originally published on Towards AI. All CV procedures you need to know as a data scientist, explained Image by me with Midjourney Before I start selling the merchandise, I need to pitch the main idea. Picture a crazy world …
The future of Artificial Intelligence is Open-source! Here’s why?
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Open-source AI gets Big Tech in trouble Photo by Tim Mossholder on Unsplash Developments in open-source artificial intelligence (AI) have accelerated massively in the last three months. So it stands to reason …
Decoding the Binomial Distribution: A Fundamental Concept for Data Scientists
Author(s): Egor Howell Originally published on Towards AI. Understanding the basic building blocks of the binomial distribution Photo by Chris Briggs on Unsplash The binomial distribution is a widely used statistical distribution that Data Scientists should be familiar with, as it appears …
19 Most Elegant Sklearn Tricks I Found After 3 Years of Use
Author(s): Bex T. Originally published on Towards AI. Advanced techniques and hidden gems for effective machine learning Learn about 19 Sklearn features you have never seen that are direct and elegant replacements to common operations you do manually. Image by me with …
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