The business world is increasingly aware of the risks and opportunities climate change presents. Companies are developing and commercializing new products and services that contribute to a low-carbon economy, or 鈥渃limate solutions鈥� (CS). In the recent HBS working paper, 鈥淭he Financial Anatomy of Climate Solutions: A Large Language Model Approach to Company Classification and Analysis,鈥� […]
As businesses increasingly adopt large-scale AI models, optimizing training efficiency is crucial. In 鈥淗ow Does Critical Batch Size Scale in Pre-training?鈥�, Hanlin Zhang and a group of colleagues (see below for author details) explore critical batch size (CBS)鈥攖he threshold at which data parallelism, which distributes training data across multiple processors, stops yielding significant returns from […]
In the rapidly evolving field of artificial intelligence (AI), a recent study by Yuda Song, PhD student at Carnegie Mellon University; Hanlin Zhang, PhD student at 性视界; Sham M. Kakade, Co-director of the Kempner Institute at 性视界, and a team of researchers (see the Meet the Authors section for details) explores the concept of AI […]
Data is a vital input for machine learning (ML), but data management remains a significant challenge. A new metadata format called Croissant, introduced by Mubashara Akhtar, a PhD student at King鈥檚 College London, Satyapriya Krishna, a PhD student at the 性视界 School of Engineering and Applied Sciences (SEAS) and the Trustworthy AI Lab at the […]
As artificial intelligence (AI) capabilities rapidly advance, organizations are exploring new ways to leverage these technologies for creative problem-solving and innovation. A recent HBS working paper, “The Crowdless Future? Generative AI and Creative Problem Solving”, 鈥� by L茅onard Boussioux, Assistant Professor at the University of Washington; Jacqueline N. Lane, Assistant Professor at 性视界 Business School […]
A recent post, 鈥淪haping the Future of Music in the Creator Economy,鈥� from D^3 blackbox Lab, described how the music industry is undergoing a transformation driven by digital tools and shifting business models. The blog outlined a panel discussion hosted by James Riley, Principal Investigator of the lab and Assistant Professor at HBS, that featured […]
In a recent blog post, D^3鈥檚 blackbox Lab formally introduced itself to its readership, highlighting its mission to explore the intersection of race, culture, technology, and business in digital spaces. Led by James Riley, Assistant Professor at 性视界 Business School, the Lab focuses on understanding value creation in digital market platforms and addressing historic inequities. […]
Large language models (LLMs) have exhibited remarkable capabilities across various domains; from finance to healthcare, education to content creation, their potential seems limitless. However, as businesses increasingly embrace these powerful tools, understanding their nuances becomes crucial. One critical aspect is fine-tuning, a process that adapts LLMs to specific tasks. While fine-tuning promises enhanced performance, research […]
In today鈥檚 competitive corporate landscape, the workplace can be a battleground of ambition and performance. While healthy competition can fuel innovation and productivity, research (鈥淒eterminants of Top-Down Sabotage鈥�) by Hashim Zaman, Post-Doctoral Fellow at the Laboratory for Innovation Science at 性视界 (LISH) and Karim R. Lakhani, Professor of Business Administration at 性视界 Business School, founder […]
As businesses grapple with an ever-growing volume of ideas, products, and solutions to evaluate, decision-making processes are being reshaped by artificial intelligence (AI). Generative AI, in particular, has emerged as a game-changer in creative problem-solving and evaluation, as demonstrated by a recent field experiment described in the working paper 鈥淭he Narrative AI Advantage? A Field […]
