In this article, we'll delve into the fascinating intersection of modern AI, specifically Large Language Models (LLMs), and literature. As a computer programmer with a deep interest in AI, and a literature enthusiast who runs a YouTube channel focused on discussing and interviewing about literature, this intersection lies at the nexus of my twin passions. We'll examine how various LLMs—GPT-40, Mini GPT-40, Llama 3.1 405B, and Claude 3.5—interpret and understand literature.
Benchmarking LLMs is a critical process. Given the non-deterministic nature of these models, benchmarks must be scientific and verifiable yet complex enough to elude basic lookup through search engines.
For this study, we’ll be comparing five different models: GPT-40, Mini GPT-40, Llama 3.1 405B, and Claude 3.5. Our focus will be how these models can enhance and intersect with the reading and studying of literature.
For our first test, I asked each model to identify five biblical references in Herman Melville's "Moby Dick."
I then asked about the significance of the whiteness of the whale.
Next, we discussed the purpose of the Town-Ho story, an interlude in "Moby Dick."
We asked why Samuel Johnson opposed America's independence.
We explored the unique and significant aspects of Ezekiel Chapter 16.
We compared how different models discussed power in capitalist vs. pre-capitalist societies according to Michel Foucault.
We queried whether Nietzsche believed in the concept of the eternal return.
For Carl Naussgard's "My Struggle," we asked for unique and compelling aspects.
Lastly, we asked each model to produce a war poem in Wilfred Owen's style.
Collectively, the GPT-40 mini model surprisingly performed well, particularly in poetic exercises. Claude 3.5 and meta 405B also demonstrated strong comprehension and synthesis capabilities.
Q: Why is Michel Foucault's theory of power important in this study?
A: Foucault's theories help us understand how AI interprets complex social and philosophical concepts, reflecting their capabilities to handle abstract academic material.
Q: Did any model excel in providing poetic imitations?
A: Surprisingly, GPT-40 mini produced the most compelling Wilfred Owen-style war poem.
Q: How did the models perform in identifying biblical references in literature?
A: Claude 3.5 provided the most comprehensive and accurate biblical references in "Moby Dick."
Q: Were there any significant differences in grade distribution among models?
A: Generally, larger models like Claude 3.5 and GPT-40 performed better with a greater frequency of 'A' grades compared to smaller models.
Q: Can AI be effectively used to understand and interpret literature?
A: Yes, this study shows that AI can provide valuable insights and even offer reasonable poetic imitations, although they still occasionally fall short in depth and nuance.
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