A quick overview of Large Language Models 

Large language models (LLMs) have taken the world by storm, changing the way we interact with and leverage natural language processing. This video provides a concise overview of these Foundation models, exploring their inner workings, capabilities, and what developers need to understand when working with them.
We'll start by understanding what the difference is between a parameter and tokens. the importance of context length, the pros/cons of context length, and some specialized LLMs for various use cases.
Next, we'll dive into the different architectures and variants of LLMs, such as GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), and their state-of-the-art successors like Claude, GPT-3, GPT-4, Gemini, Mistral, and LLama.
Whether you're a developer, researcher, or simply curious about the cutting-edge of natural language processing, this video will equip you with a solid understanding of large language models and their profound impact on various industries and disciplines.
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