Large Language Models from scratch

Introduction

Hello everyone! In this article, we will delve into the world of large language models. We will start by exploring how autocomplete features on mobile phones work and then dive into the complexities of language modeling, from understanding word frequencies to building neural networks to model language. Join us on this journey as we uncover the fascinating world of language generation and approximation.

In the video script above, the following keywords are highlighted: autocomplete, word frequencies, language modeling, neural networks, gradient descent, backpropagation, capacity, activation functions.

Keywords:

• Autocomplete
• Word Frequencies
• Language Modeling
• Neural Networks
• Gradient Descent
• Backpropagation
• Capacity
• Activation Functions

FAQ:

1. What is the role of word frequencies in language modeling?
2. How do neural networks approximate functions in language modeling?
3. What is the significance of gradient descent and backpropagation in training neural networks for language modeling?
4. How does network capacity impact the ability of a neural network to model language?
5. Why are activation functions important in designing neural networks for language modeling?