LLMs are more than "stochastic parrots," research suggests

The term "stochastic parrot" is an inaccurate description for large language models (LLMs), according to a Mastodon post. While LLMs do match the empirical distribution of human text during pre-training, the emergent capabilities go beyond mere parroting. Research indicates that training on high-dimensional datasets leads to extrapolation rather than simple interpolation, and transformers demonstrate out-of-distribution generalization. AI

IMPACT Challenges the common analogy used to describe LLMs, suggesting a deeper understanding of their emergent capabilities is needed.

RANK_REASON The item is an opinion piece discussing the nature of LLMs, referencing research papers.

Read on Mastodon — fosstodon.org →

• arXiv:2110.09485
• arXiv:2210.13382
• LLMs
• Othello-GPT
• stochastic parrot
• transformers

• opinion
• other

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