Alex Pentland

Sep 3, 2024 | media.mit.edu | Adam Zewe |Alex Pentland

By Adam Zewe | MIT NewsIn order to train more powerful large language models, researchers use vast dataset collections that blend diverse data from thousands of web sources. But as these datasets are combined and recombined into multiple collections, important information about their origins and restrictions on how they can be used are often lost or confounded in the shuffle. Not only does this raise legal and ethical concerns, it can also damage a model’s performance.

Jun 3, 2024 | media.mit.edu | Alex Pentland

Publication Berke, A., Calacci, D., Mahari, R. Yabe, T., Larson, K., & Pentland, S. Open e-commerce 1.0, five years of crowdsourced U.S. Amazon purchase histories with user demographics. Sci Data 11, 491 (2024). https://doi.org/10.1038/s41597-024-03329-6 This is a first-of-its-kind dataset containing detailed purchase histories from 5027 U.S. Amazon.com consumers, spanning 2018 through 2022, with more than 1.8 million purchases.

Apr 2, 2024 | media.mit.edu | Mary Gallagher |Alex Pentland

By Mary Beth Gallagher | School of EngineeringLast summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers to “articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI.” The response to the call far exceeded expectations with 75 proposals submitted. Of those, 27 proposals were selected for seed funding.

Jan 26, 2024 | hbr.org | José Parra-Moyano |Karl Schmedders |Alex Pentland

Large language models (LLMs) like GPT-4 have captivated business leaders with the promise of enhanced decision-making, streamlined operations, and new innovation. Companies such as Zendesk and Slack have started using LLMs to advance customer support, improving satisfaction and reducing costs. Meanwhile, Goldman Sachs and GitHub are employing a similar AI to assist developers with code writing.

Jan 26, 2024 | hbr.org | José Parra-Moyano |Karl Schmedders |Alex Pentland

Large language models (LLMs) like GPT-4 have captivated business leaders with the promise of enhanced decision-making, streamlined operations, and new innovation. Companies such as Zendesk and Slack have started using LLMs to advance customer support, improving satisfaction and reducing costs. Meanwhile, Goldman Sachs and GitHub are employing a similar AI to assist developers with code writing.