Analysis
This article provides a fantastic overview of the evolution of Large Language Models (LLMs), tracing their remarkable journey from the pre-Transformer era to the innovative models of today. It highlights key milestones, like the pivotal 'Attention is all you need' paper and the rise of models like GPT, providing a clear path to understanding the current state of Generative AI.
Key Takeaways
- •The article breaks down the development of LLMs by era, from RNNs and CNNs to the advent of the Transformer architecture.
- •It showcases the progression of OpenAI's GPT series, highlighting advancements in model size, functionality, and the impact of Prompt Engineering.
- •The text acknowledges the emergence of models like BERT and Claude, offering a well-rounded view of the LLM landscape.
Reference / Citation
View Original"2017年の 「Attention is all you need」 がLLMの転換期になったことは周知の事実である。"