☰ All Tutorials
Introduction
 Learning Transformer from Scratch: Simple QA Task for Beginners
 The Transformer's Anatomy: Exploring Transformer Architecture Inside Out
 RAG (Retrieval-Augmented Generation) for Domain-Specific QA using GPT-3.5-Turbo
 RAG for Domain-Specific QA with Reference using T5 & GPT-3.5-Turbo
 Generation comparison between Stable LM 2 Chat, GPT-3.5, GPT-4o, and GPT-4.0
 Comparing GPT-3.5-Turbo vs. GPT-4o-Mini (Is GPT-4o-Mini really a better model than GPT-3.5-Turbo?)

This section is under construction and growing!

Welcome to my NLP & DL Tutorials section! I'm excited to share my knowledge and build a collection of step-by-step guides on NLP & DL architectures and models. We'll start by diving into the Transformer architecture, exploring its versatility and applications for NLP tasks. Whether you're new to NLP or looking to deepen your understanding, I hope these tutorials will be a valuable resource. Stay tuned for updates as this section grows!

Please note that the code examples and libraries used in these tutorials may be subject to their own licensing terms and restrictions. While I strive for accuracy, I cannot guarantee the complete correctness of the information presented. Any reliance you place on the tutorials or code examples is therefore strictly at your own discretion. You are not obligated to cite this website, but if you find it helpful, I would appreciate a reference to www.nahid.org/tutorials. If you have any questions, discover errors, or need further clarification, please don't hesitate to contact me.

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