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Simplifying AI research papers and foundational AI concepts. Stay updated with cutting-edge advancements in artificial intelligence.| AI Papers Academy
In this post we break down Meta AI's DINOv3 research paper, which introduces a state-of-the-art Computer Vision foundation models family The post DINOv3 Paper Explained: The Computer Vision Foundation Model appeared first on AI Papers Academy.| AI Papers Academy
In this post we break down the Hierarchical Reasoning Model (HRM), a new model that rivals top LLMs on reasoning benchmarks with only 27M params! The post The Era of Hierarchical Reasoning Models? appeared first on AI Papers Academy.| AI Papers Academy
In this post we break down Microsoft's Reinforcement Pre-Training, which scales up reinforcement learninng with next-token reasoning The post Microsoft’s Reinforcement Pre-Training (RPT) – A New Direction in LLM Training? appeared first on AI Papers Academy.| AI Papers Academy
In this post we explain the Darwin Gödel Machine, a novel method for self-improving AI agents by Sakana AI The post Darwin Gödel Machine: Self-Improving AI Agents appeared first on AI Papers Academy.| AI Papers Academy
Dive into Continuous Thought Machines, a novel architecture that strive to push AI closer to how the human brain works The post Continuous Thought Machines (CTMs) – The Era of AI Beyond Transformers? appeared first on AI Papers Academy.| AI Papers Academy
Dive into Perception Language Models by Meta, a family of fully open SOTA vision-language models with detailed visual understanding The post Perception Language Models (PLMs) by Meta – A Fully Open SOTA VLM appeared first on AI Papers Academy.| AI Papers Academy
DeepSeekMath is the fundamental GRPO paper, the reinforcement learning method used in DeepSeek-R1. Dive in to understand how it works The post GRPO Reinforcement Learning Explained (DeepSeekMath Paper) appeared first on AI Papers Academy.| AI Papers Academy
Explore DAPO, an innovative open-source Reinforcement Learning paradigm for LLMs that rivals DeepSeek-R1 GRPO method. The post DAPO: Enhancing GRPO For LLM Reinforcement Learning appeared first on AI Papers Academy.| AI Papers Academy
Discover how OpenAI's research reveals AI models cheating the system through reward hacking — and what happens when trying to stop them The post Cheating LLMs & How (Not) To Stop Them | OpenAI Paper Explained appeared first on AI Papers Academy.| AI Papers Academy
In this post we break down a recent Alibaba’s paper: START: Self-taught Reasoner with Tools. This paper shows how Large Language Models (LLMs) can teach themselves to debug their own thinking using Python. Introduction Top reasoning models, such as DeepSeek-R1, achieve remarkable results with long chain-of-thought (CoT) reasoning. These models are presented with complex problems […] The post START by Alibaba: Teaching LLMs To Debug Themselves appeared first on AI Papers Academy.| AI Papers Academy
Simplifying AI research papers and foundational AI concepts. Stay updated with cutting-edge advancements in artificial intelligence.| AI Papers Academy
Dive into the groundbreaking DeepSeek-R1 research paper, introduces open-source reasoning models that rivals the performance OpenAI's o1!| AI Papers Academy
