A Complete Guide & Chatbot : Bootcamp to create your own ChatGPT from Scratch
What you will learn
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Understand the fundamentals of PyTorch and how to use tensors, autograd, modules, and optimizers to build deep learning models from scratch.
Design and implement a word-level tokenizer from scratch, and prepare training data suitable for language modeling tasks.
Build a simplified transformer-based language model (TinyGPT) using PyTorch, including embedding layers, positional encoding, and multi-head attention.
Train your own Tiny LLM on CPU, visualize loss, and fine-tune model performance using techniques like dropout and temperature-based sampling.
Generate text using your trained model, and implement an interactive chatbot that responds to user input via command-line or browser interface.
Gain hands-on experience with language model architecture, training pipeline, text generation, and inference flow β with no need for pre-trained models or GPUs.
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