Do You Understand Me? Human and Machine Intelligence
Author(s): Lan Chu Originally published on Towards AI. Can we ever understand human intelligence and make computers intelligent in the same way? By Lan Chu and Robert Jan Sokolewicz. Photo by Pavan Trikutam on Unsplash In this article, we try to explore …
How to Fine-tune EasyOCR to achieve better OCR performance
Author(s): Eivind Kjosbakken Originally published on Towards AI. OCR is a valuable tool when you want to extract text from images. Sometimes, however, the OCR you are using is not working as well as you want it to for your specific needs. …
Like Principal Components Analysis? New Paper Reports It Can Produce “Phantom Oscillation” Artifacts
Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. Principal Component Analysis (PCA), a widely used statistical method for simplifying complex datasets, has been found to produce “phantom oscillations” — patterns that appear in the data although they don’t exist in …
A Dual Augmented Two-tower Model for Online Large-scale Recommendation
Author(s): Saankhya Mondal Originally published on Towards AI. Recommendation systems are algorithms that are designed to provide personalized suggestions to users. These systems are employed in various domains to help users discover relevant items, such as products (e-commerce like Amazon), other users …
The Future of OpenAI’s GPTs — 2024 SWOT Analysis
Author(s): Cezary Gesikowski Originally published on Towards AI. Navigating the Fast-Evolving Landscape of Generative AI Top highlight image by the author via Midjourney + Photoshop Things move pretty fast in the world of artificial intelligence, and at the moment, OpenAI’s ChatGPT and …
Q* and LVM: LLM’s AGI Evolution
Author(s): Luhui Hu Originally published on Towards AI. Source: generated by ChatGPT 4 with the article title prompt The realm of artificial intelligence has witnessed a revolutionary surge with the advent of Large Language Models (LLMs) like ChatGPT. These models have dramatically …
In-depth Handling/Imputation Techniques of Missing Values in Feature Transformation
Author(s): Amit Chauhan Originally published on Towards AI. Data imputation for machine learning and data science projectPhoto by Emile Perron on Unsplash As we know, machine learning algorithms are not very good with missing data. Part of feature engineering is transforming the …
Andrej Karpathy LLM Paper Reading List for LLM Mastery
Author(s): Youssef Hosni Originally published on Towards AI. LLM Paper Recommendation from World Leading AI Researcher Andrej Karpathy is known for his significant contributions and leadership at the intersection of machine learning and language, therefore Karpathy’s paper reading list serves as a …
Learn AI Together — Towards AI Community Newsletter #4
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, fellow AI enthusiasts! In this issue, we share a new video for our course video series with Activeloop on enhancing the Large Language Model (LLM) performance. This video shows various …
Microsoft’s Unveils Orca2, Creating the First Cautious Reasoner LLM
Author(s): Ignacio de Gregorio Originally published on Towards AI. A Reasoning breakthrough As we discussed the previous week, Small Language Models (SLMs) are all the rage right now. Also, Microsoft launched the new version of their SLM crown jewel, Orca2, creating a …
‘You are an Expert’ Isn’t the Magical AI Prompt You Think It Is
Author(s): David Leibowitz Originally published on Towards AI. Top highlight Forget the AI gimmicks; use these ChatGPT prompts instead Conjuring expertise with ChatGPT goes beyond calling it an ‘expert’, Credit: David Leibowitz via DALL-E If you could conjure up marketing genius with …
Top Important LLM Papers for the Week from 27/11 to 03/12
Author(s): Youssef Hosni Originally published on Towards AI. Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the …
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, …
Revolutionising Machine Learning: Achieving Top 4% in Kaggle with AutoGluon in Just 7 Lines of Code
Author(s): Daniel Voyce Originally published on Towards AI. Autogluon Forecasting Since starting a new Data Engineering role at Slalom _build, I realized I needed to refresh my ML experience as it was a couple of years out of date. A couple of …
Popular posts
Updates
Recent Posts
