LLM Mastery 02: History and Evolution

Welcome to the second episode of LLM Mastery! In this video, we will explore the fascinating history and evolution of Large Language Models (LLMs). Understanding the journey of LLMs will provide you with a deeper appreciation of their capabilities and the technological advancements that have made them possible.

In this episode, you will learn:
Early NLP Models:

Rule-based systems (1950s-1960s)
Introduction of statistical methods (1970s-1980s)
Emergence of neural networks (1990s)
The Emergence of Neural Networks:

Early neural networks and their development in the 1990s
RNNs and LSTMs (2000s)
The rise of Transformers (2017-Present)
The Rise of Transformers:

The original Transformer model (2017)
BERT (Bidirectional Encoder Representations from Transformers) in 2018
GPT-3 (Generative Pre-trained Transformer 3) in 2020
Modern LLMs:

Overview of advanced models like GPT-3, T5, and PaLM
Key features and capabilities of these models
Why should you watch this video?
Gain insights into the historical context and evolution of LLMs
Understand the technological milestones that have shaped modern NLP
Learn about the key developments and breakthroughs in neural network architectures
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