This AI Thinks Like You (CogER Secret) #Shorts

🚀 What if AI could think like a human—adjusting its effort based on the complexity of the question? Say goodbye to one-size-fits-all reasoning! In this video, we dive into **CogER (Cognitive-Inspired Elastic Reasoning)**, a breakthrough framework that redefines how large language models tackle problems. 🔍 You’ll learn: ✅ How CogER classifies queries into 4 cognitive levels (L1–L4) using **Bloom’s Taxonomy**—from instant recall to creative, tool-powered reasoning ✅ How an *RL-trained agent* decides the optimal reasoning path using a **Markov Decision Process**—balancing accuracy, cost, and efficiency ✅ The power of *Cognitive Tool-Assisted Reasoning (CoTool)**: LLMs that autonomously call search engines, calculators, and databases *within their own thought process ✅ Real-world results: *+13% accuracy on in-domain tasks**, **+8% on out-of-domain benchmarks**, with **far less compute* than current state-of-the-art methods 💡 Perfect for AI developers, researchers, and curious minds—this is the future of adaptive, intelligent reasoning. No more forced chains of thought. No more wasted compute. Just AI that *thinks deeper when it needs to*. 🔥 Ready to build smarter, faster, more human-like AI? 👉 *LIKE* if you’re excited about the future of reasoning! 👉 *SUBSCRIBE* for more cutting-edge AI research explained simply. 👉 *COMMENT* below: What’s the hardest question your AI should be able to answer? #AI #LargeLanguageModels #LLM #CognitiveAI #ReinforcementLearning #AIResearch #MachineLearning #ChatGPT #Transformers #SmartAI #CogER #CoTool #BloomTaxonomy #Shorts Read more on arxiv by searching for this paper: 2512.15089v1.pdf