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In this episode of Generative AI 101, we trace the evolution of Large Language Models (LLMs) from their early, simplistic beginnings to the sophisticated powerhouses they are today. Starting with basic models that struggled with coherence, we'll see how the introduction of transformers in 2017 revolutionized the field. Discover how models like GPT-2 and GPT-3 brought human-like text generation to new heights, and learn about the advancements in GPT-4, which offers even greater accuracy and versatility. Join us to understand the incredible journey of LLMs, from data training to fine-tuning, and how they've transformed our digital interactions.
By Emily Laird4.6
2020 ratings
In this episode of Generative AI 101, we trace the evolution of Large Language Models (LLMs) from their early, simplistic beginnings to the sophisticated powerhouses they are today. Starting with basic models that struggled with coherence, we'll see how the introduction of transformers in 2017 revolutionized the field. Discover how models like GPT-2 and GPT-3 brought human-like text generation to new heights, and learn about the advancements in GPT-4, which offers even greater accuracy and versatility. Join us to understand the incredible journey of LLMs, from data training to fine-tuning, and how they've transformed our digital interactions.

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