Archetype AI’s Post

“From rule-based systems to general intelligence”—CDS and Stern Professor Vasant Dhar explores four paradigm shifts that have defined AI’s evolution in a new article in Communications of the ACM. What started as encoded human expertise has transformed into systems capable of broad, cross-domain reasoning. Reflecting on how AI development has moved from structured rules to general AI systems, Dhar observes: “The one thing we’ve come to expect from machines is consistency, and that’s exactly what we’re currently failing on.” He highlights the challenges posed by inconsistencies in modern AI systems like large language models. Read more about how AI’s past can inform its future, including how earlier challenges of reasoning and meaning may re-emerge in this new era. Read more on our blog: https://lnkd.in/efyTxqCk Watch a companion video featuring Dhar here: https://lnkd.in/eDz-F2hN

🚀 Exciting Advances in AI and ML! 🌟 I've just published a new blog post exploring whether generative AI models are good for classification, prediction, and forecasting compared to traditional ML models. 🤖📈 In this blog, I dive into: - The unique strengths of generative AI models 🌐 - How traditional ML models excel in specific tasks 📊 - The future potential of hybrid approaches combining both technologies 🔗 Curious to learn more about where AI and ML are headed? Check out the blog here -> https://lnkd.in/g-YFMY4Q #AI #MachineLearning #GenerativeAI #DataScience #TechInnovation #BlogPost

🚀 7 Emerging AI Technologies to Watch in 2024 🚀 Artificial Intelligence is evolving at a rapid pace, reshaping industries and offering transformative solutions across the globe. 🌐 As we move into 2024, several new AI technologies are gaining traction, pushing boundaries and creating exciting opportunities. From Generative AI revolutionizing content creation to Quantum Machine Learning enabling lightning-fast problem-solving, the future is here. Curious about the trends shaping the AI landscape? Dive into our latest article. https://lnkd.in/duiy7tQr #AI #ArtificialIntelligence #GenerativeAI #EdgeAI #Brilworks #Technology #FutureTrends #AI2024

My first article in medium : Simple Gen AI application using RAG , LLM & Vector Search.! Enjoy reading.. https://lnkd.in/ehqu5-ru

Can we prevent AI from becoming the ultimate weapon? This article explores solutions for responsible AI development. https://lnkd.in/dRWtNd-p #PeaceTech #AIRegulation #TheQuantifiedWorld

Day 28: Handling Imbalanced Datasets in ML 🚦 Ever dealt with a dataset where one class dominates the other? Think fraud detection or disease diagnosis—imbalanced datasets are everywhere, and they can mislead even the smartest models. 🧠 In today’s post, I explore practical strategies to balance the scales, from SMOTE and cost-sensitive learning to better evaluation metrics like F1-Score and PR-AUC. Let’s make ML work for everyone, not just the majority! 🔗 Read more here: https://lnkd.in/edMcNQvJ #MachineLearning #DataScience #AI #ImbalancedDatasets #TechSolutions

Our community dropped an insightful blog on "Why Autonomous AI Agents are Essential for the Success of Decentralized Finance Exchanges: A Revolution Led by Mettalex" Read the full blog here 👉 https://lnkd.in/gn6aXQ-Q

Navigating AI's Transformative Power in Business Explore how businesses are leveraging AI and machine learning to revolutionize their analytics capabilities, enhance decision-making, and drive innovation across sectors. This insightful article also delves into the challenges of effectively operationalizing AI. Read more on Towards Data Science: https://lnkd.in/d7-zDwa4 #AI #MachineLearning #BusinessInnovation #DataAnalytics #DecisionMaking #AIIntegration #TechTrends

💻 Day 27: Hyperparameter Tuning – Grid Search vs. Random Search 🎯 Hyperparameter tuning can make or break your model’s performance. But which approach should you use? ➡️ Grid Search: Thorough but time-intensive ➡️ Random Search: Quick but less exhaustive In today’s article, I break down their key differences, use cases, and how to decide which one fits your ML pipeline. Don’t let tuning slow you down—choose wisely! 🔗 Read it here: https://lnkd.in/e8a2vhzt #MachineLearning #HyperparameterTuning #AI #GridSearch #RandomSearch

Ever thought about the growing societal divide as AI continues to advance? Imagine a world split between the 'AI Rich' and the 'AI Poor.' In his insightful article, Alberto Romero explores this very concept, examining the impact of unequal access to cutting-edge AI tools. It's a fascinating look at how technology could shape the future of work, industries, and social structure. Curious about how AI might affect our future? Dive into Romero’s article https://lnkd.in/gWyhYc8f