Language Models are Few-Shot Learners (GPT-3)
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Language Models are Few-Shot Learners (GPT-3)
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About this listen
In this third episode of AI Papers Explained, we explore GPT-3: Language Models are Few-Shot Learners, the landmark paper by OpenAI (2020).
Discover how scaling up model size and training data led to new emergent capabilities and marked the beginning of the large language model era.
We connect this milestone to the foundations laid by Attention Is All You Need and BERT, showing how GPT-3 transformed research into the age of general-purpose AI.
🎙️ Source: Brown et al., OpenAI, 2020 — Language Models are Few-Shot Learners (arXiv:2005.14165)
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