Introduction to Large Language Models (LLMs) with Py Torch: A Beginner's Guide 

Welcome to our introductory tutorial on Large Language Models (LLMs) using Py Torch! In this video, we'll guide you through the fundamentals of LLMs, explaining how these powerful models work and how they are trained to understand and generate human-like text. We'll start with an overview of the concepts behind LLMs, discuss the importance of neural networks and transformers, and then dive into hands-on coding with PyTorch to build and train a simple language model from scratch.
Whether you're a beginner just getting started with machine learning or an experienced developer looking to expand your knowledge, this tutorial will provide you with the foundational skills needed to understand and create your own language models.
What You'll Learn:
Basics of Large Language Models (LLMs)
Understanding the Transformer architecture
Step-by-step guide to building an LLM with PyTorch
Training and fine-tuning your model
Tips and best practices for working with LLMs
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