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Liquid Neural Networks

  Liquid Neural Networks   “This is a way forward for the future of robot control, natural language processing, video processing — any form of time series data processing,” says Ramin Hasani, the lead author… Liquid Neural Networks

Explainable AI

  Explainable AI   This article delves into the concept of Explainable AI (XAI), a set of techniques and methods designed to make the outputs of machine learning models understandable and reliable for human users.… Explainable AI

Gated Recurrent Unit

  Gated Recurrent Unit M K Sumana   In this article we will be discussing about GRUs, which are simple alternatives to LSTMs. We will learn about their architecture, working, their advantages over LSTMs, their… Gated Recurrent Unit

Retrieval-Augmented Generation

  Retrieval-Augmented Generation In this article, we will explore the technique of Retrieval-Augmented Generation (RAG), an AI framework designed to enhance the quality of responses generated by large language models (LLMs). By grounding LLMs on… Retrieval-Augmented Generation

Large Language Model

  Large Language Model   A large language model is a type of artificial intelligence algorithm that applies neural network techniques with lots of parameters to process and understand human languages or text using self-supervised learning techniques.… Large Language Model

Q-Learning

Mastering Q-Learning: The Power Behind Smarter Decisions Mastering Q-Learning: The Power Behind Smarter Decisions Q-Learning is a revolutionary model-free, value-based, off-policy reinforcement learning algorithm that equips agents to learn the best sequence of actions, allowing… Q-Learning

Reinforcement Learning

    Reinforcement Learning for Traffic Management Reinforcement Learning Reinforcement Learning Reinforcement learning is a pivotal technique in machine learning that trains agents through trial and error to make sequential decisions. By leveraging the reward-and-punishment… Reinforcement Learning