A fascinating tree of GPTs & LLMs reveals what’s been going on under the covers
What if we told you that the landscape of large language models (LLMs) could be encapsulated in a single, compelling visualization? Thanks to deep learning luminary Yann LeCun, and his feature of the remarkable work by GitHub-er JingfengYang, you can now witness a captivating, comprehensive illustration that maps out the genealogy of these groundbreaking technologies.
In an era where artificial intelligence continues to break boundaries, it is critical to understand the distinct architectures that form the cornerstone of these models. LeCun, a profound skeptic of the perceived infallibility of LLMs, has enlightened us about their history and relevance through a visually stunning diagram, creating an intriguing discourse on the matter.
According to the chart, there seems to be a battle of the giants, with Meta and Google leading in terms of LLM release numbers. But remember, quantity isn’t always synonymous with quality. OpenAI’s GPT-4, despite the lower number of iterations, remains at the forefront of LLMs, boasting superior performance to Google’s Bard according to recent tests.
The unique approach of this visualization extends to open-source distinctions. Notably, ‘open source’ also envelops models exclusively available for academic research, a caveat especially applicable to Meta LLMs.
The exploration of LLMs is a journey full of learning and surprises. LeCun’s recent post underlines this by providing a deeper understanding of this technology’s heritage. This interactive visualization is a must-see for any AI enthusiast interested in delving into the heart of language model evolution.
So, buckle up and dive into the intricate world of Large Language Models, from their roots to the blooming branches of technological evolution. As you explore this fascinating tree, you’ll find yourself immersed in the captivating chronicles of AI’s continuous quest for language mastery.
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