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Shivanshu Purohit

2 accepted papers

2023

Emergent and Predictable Memorization in Large Language Models

NeurIPS 2023poster

Memorization, or the tendency of large language models (LLMs) to output entire sequences from their training data verbatim, is a key concern for deploying language models. In particular, it is vital to minimize a model's memorization of sensitive datapoints such as those containing personal identifi…

2023

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

ICML 2023oral

How do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To answer these questions, we introduce *Pythia*, a suite of 16 LLMs all trained on public data seen in the exact same order and ranging in size from 70M to 12B parameter…