The evolutionary tree of modern LLMs


Flourishing Canopy: The Era of Transformers
The canopy of our tree is dense with Transformer-based models, which have dominated the landscape since 2019. The GPT (Generative Pretrained Transformer) series, starting from GPT-1 and evolving rapidly to GPT-2 and GPT-3, has demonstrated a remarkable ability to generate human-like text. Meanwhile, models like T5 from Google and Microsoft’s Turing-NLG have pushed the boundaries of what's possible with language comprehension and generation.

Latest Blossoms: State-of-the-Art Models
Perched at the top of our tree are the latest and most advanced LLMs. Models like GPT-4 and others from various AI labs like OpenAI, Anthropic, and DeepMind are not only more powerful but also more nuanced in their understanding of language. They're capable of tasks ranging from writing essays to coding, and even creating art or music.

The Ecosystem: Open-Source vs. Closed-Source
An important aspect of our tree is the delineation between open-source and closed-source models. Open-source models, such as those from Hugging Face’s Transformers library, provide accessibility and transparency, allowing for widespread use and innovation. On the other hand, closed-source models, often developed by big tech companies, keep their inner workings under wraps, sometimes offering more powerful capabilities but less community insight and control.

Future Growth: The Path Ahead
As we look to the sky through the leaves of this tree, it’s clear that the future of LLMs holds even greater potential. With advancements in ethical AI, interpretability, and multi-modal capabilities, the next generation of LLMs is poised to be even more integrated into our digital lives.

The journey through the evolutionary tree of modern LLMs reveals a rapid and complex growth pattern, one that reflects both technological advancements and our deepening understanding of natural language. As we continue to nurture and develop these models, we can only imagine the heights they will reach and the ways they will transform our interaction with technology.

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