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  • Building a PyTorch RNN-Based Question Answering System
    pytorchrnnneural-networksquestion-answeringdeep-learning
    Learn how to build a simple RNN-based QA system using PyTorch from scratch - covering tokenization, embeddings, and sequence modeling.
  • What is model serialization? How to serialize and deserialize models in Python
    machine-learningpythonserializationdeploymentmlops
    Master model serialization fundamentals and learn when to use pickle vs joblib for production ML systems with hands-on examples.
  • Why Decoder-Only Models Rule Modern AI: Architecture Insights from GPT to Llama
    aimachine-learningarchitecturetransformersgptllama
    Exploring why decoder-only architectures like GPT-4 and Llama dominate AI today, and when encoder-decoder models still provide superior solutions for specific enterprise challenges.
  • What is an epoch in machine learning?
    machine-learningtrainingdeep-learningbasics
    An epoch is one full pass over the training dataset. Learn how it differs from batches and steps—with an interactive animation.
  • What is learning rate in machine learning?
    machine-learningoptimizationgradient-descentdeep-learning
    The learning rate controls how big each step is during optimization—too small is slow, too large overshoots.
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  • Arnab Mondal

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