Large Language Models

Showing 1 - 5 of 5 results

STPP research on AI highlighted in Nature Q&A

May 3, 2022
Ford School professor Shobita Parthasarathy was highlighted in a Q&A with Nature magazine, acknowledging recent research on Large Language Models (LLMs) by the Science, Technology, and Public Policy program's Technology Assessment Project....

STPP wins grant to explore Large Language Models  

Jun 11, 2021
Large Language Models (LLM) — machine learning algorithms that can recognize, predict, and  generate human languages on the basis of very large text-based data sets — have captured the imagination of scientists, entrepreneurs, and tech-watchers....
Technology Assessment Project

What’s in the Chatterbox?

May 2021
Johanna Okerlund, Evan Klasky, Aditya Middha, Sujin Kim, Hannah Rosenfeld, Molly Kleinman, Shobita Parthasarathy
Large language models (LLMs)—machine learning algorithms that can recognize, summarize, translate, predict, and generate human languages on the basis of very large text-based datasets—are likely to provide the most convincing computer-generated imitation of human language yet. Because language generated by LLMs will be more sophisticated and human-like than their predecessors, and because they perform better on tasks for which they have not been explicitly trained, we expect that they will be widely used. Policymakers might use them to assess public sentiment about pending legislation,...