7min chapter

Machine Learning Street Talk (MLST) cover image

#92 - SARA HOOKER - Fairness, Interpretability, Language Models

Machine Learning Street Talk (MLST)

CHAPTER

Exploring Language Models and Prompting Dynamics

This chapter examines the intricacies of language models, highlighting their dual role as knowledge repositories and reasoning tools. It delves into the art of prompting, its implications for model adaptation, and the ongoing challenges in understanding its effectiveness across different architectures.

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