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With DeepSeek. Abstract DNA repair is a cornerstone of genomic integrity, yet its fidelity relies not solely on the DNA sequence itself but on dynamic epigenetic cues that guide repair machinery. This paper explores the concept of epigenetic “meta-instructions” that orchestrate DNA correction, integrating methylation patterns, histone modifications, transcription-coupled processes, and RNA-mediated mechanisms. By synthesizing…

Title: Group Relative Policy Optimization (GRPO): A Framework for Collaborative Multi-Agent Reinforcement Learning Abstract In recent years, multi-agent reinforcement learning (MARL) has gained significant attention as it promises to address complex real-world problems that require coordination, collaboration, and competition among multiple autonomous agents. Proximal Policy Optimization (PPO) has been one of the most successful and…

Summary of “DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning” Introduction The paper introduces DeepSeek-R1, a series of reasoning models developed by DeepSeek-AI, aimed at enhancing the reasoning capabilities of large language models (LLMs) through reinforcement learning (RL). The authors present two main models: DeepSeek-R1-Zero, which is trained purely via RL without supervised fine-tuning…

Below is a detailed, approximately 3,000-word summary of the diagram and its underlying concepts. The diagram illustrates an end-to-end pipeline or architecture for Retrieval-Augmented Generation (RAG). Although it is presented in distinct colored sections, each box and arrow represents a component, step, or flow of data in a system designed to answer user questions by…

Agentic Retrieval-Augmented Generation (Agentic RAG): A Comprehensive Survey Abstract Large Language Models (LLMs) have revolutionized artificial intelligence (AI) by enabling human-like text generation and natural language understanding. However, their reliance on static training data limits their ability to respond to dynamic, real-time queries, often resulting in outdated or inaccurate outputs. Retrieval-Augmented Generation (RAG) emerged as…

With DeepSeek. Abstract Artificial Neural Networks (ANNs) have revolutionized the field of artificial intelligence (AI) by demonstrating remarkable capabilities in tasks ranging from image recognition to natural language processing. One of the most intriguing aspects of ANNs is their ability to implicitly embed relationships between tokens (e.g., words, pixels, or other input features) as weights…