Google’s RealLife AI Model Feels Like Magic
Author(s): Ignacio de Gregorio Originally published on Towards AI. Redefining the Stories of Our Lives Top highlight Source: Author with Dalle-3 What I’m about to show you is unprecedented and feels almost like magic. Google Research, in collaboration with Cornell University, has …
How transparent are large language models?
Author(s): Salvatore Raieli Originally published on Towards AI. Stanford proposes an index to measure LLM transparency, and the results are not encouragingPhoto by Marc Schulte on Unsplash Stanford measured how transparent companies are true their Large Language Models (LLMs) and other foundation …
Branch and Bound — Bonus Article — Visualizing the Nodes
Author(s): Francis Adrian Viernes Originally published on Towards AI. Using NetworkX Package to Visualize the Branch and Bound Algorithm in ActionPhoto by Alina Grubnyak on Unsplash For those coming in from my last two articles, this is the article where we provide …
Branch and Bound — Coding the Algorithm From Scratch
Author(s): Francis Adrian Viernes Originally published on Towards AI. A Deeper Understanding of The Algorithm in Python Programming LanguagePhoto by JJ Ying on Unsplash If you are coming from the introductory article: Branch and Bound — Introduction Prior to Coding the Algorithm …
Top Important LLM Papers for the Week from 23/10 to 29/10
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to 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 …
Enhancing The Robustness of Regression Model with Time-Series Analysis— Part 2
Author(s): Mirza Anandita Originally published on Towards AI. Enhancing The Robustness of Regression Model with Time-Series Analysis— Part 2 Photo by Robbie Down on Unsplash Previously… Welcome to the second segment of this article! In Part 1, we successfully managed to build …
Overview of Important GAN Models & Applications
Author(s): Youssef Hosni Originally published on Towards AI. Generative adversarial networks (GANs) have revolutionized image synthesis since their introduction in 2014. This article provides an overview of some of the most influential GAN models for key computer vision applications, such as text-to-image …
Top 7 AI Trends to Watch out for in 2023- and 2024
Author(s): Ahmed Fessi Originally published on Towards AI. AI Trends for 2023–2024 — Illustration generated by the Author using Dall-E 3 Our world is undergoing significant changes, and some, including me, believe that AI will deeply drive change in the Tech planet …
Understanding SCD — Slowly Changing Dimensions
Author(s): Saniya Parveez Originally published on Towards AI. Introduction In the dynamic realm of data management, the concept of Slowly Changing Dimensions (SCD) emerges as a crucial paradigm. SCD constitutes a fundamental principle in the field of data warehousing and database administration, …
Top Important Computer Vision Papers for the Week from 23/10 to 29/10
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research On a weekly basis, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision …
Enhancing The Robustness of Regression Model with Time-Series Analysis — Part 1
Author(s): Mirza Anandita Originally published on Towards AI. Enhancing The Robustness of Regression Model with Time-Series Analysis — Part 1 A case study on Singapore’s HDB resale prices. In this story, we demonstrate how to incorporate time-series analysis into linear regression, improving …
Two-Headed Classifier Use Case
Author(s): Argo Saakyan Originally published on Towards AI. Two-Headed Classifier Use Case Photo by Vincent van Zalinge on Unsplash Idea Let’s talk about some real world cases of computer vision tasks. In the first glance, the classification problem is as simple as …
Text Preprocessing to Prepare for Machine Learning in Python — Natural Language Processing
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. Some Commonly Used Text Preprocessing Techniques in Python With ExamplesPhoto by Kiril Dobrev on Unsplash In this age of social media and online business era, text data are coming from everywhere. However, dealing …
Top Important Computer Vision Papers for the Week from 16/10 to 22/10
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research On a weekly basis, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision …
According to Aristotle, Would ChatGPT Be Able to Think?
Author(s): Marcello Politi Originally published on Towards AI. Aristotle’s syllogisms and the logical capabilities of Large Language ModelsPhoto by ESR LAW on Unsplash The revolution of Large Language Models, such as chatGPT, has brought many people closer to the AI field. The …
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