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A Guide to Large Language Model Abstractions
The authors map the landscape of frameworks for abstracting interactions with and between large language models, and suggest two systems of organization for reasoning about the various approaches to, and philosophies of, LLM abstraction.
Systematic and Discretionary Macro: Better Together
Systematic and discretionary macro funds have had similar risk-adjusted returns on average, and intuitively have different relative advantages. This analysis demonstrates that over the past ~15 years, a blend of the two delivered a higher Sharpe ratio than either approach alone.
Hype vs. Reality: David Siegel on Large Language Models
Two Sigma Co-Chairman David Siegel speaks about the significant potential—and considerable hype—surrounding large language models like GPT-4 and other innovations in artificial intelligence.
From STEM to Finance: Employees Share Their Stories
Two Sigma employees share their journeys from STEM backgrounds to the world of financial sciences.
Latest Insights & Research
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Research
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July 18, 2022
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August 12, 2021
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Updated on May 14, 2019
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Updated on November 27, 2018
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Updated on November 27, 2018
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Updated on November 27, 2018
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Updated on November 15, 2018
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Updated on September 27, 2018
News From Around Two Sigma
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Improving Compute Sustainability: A Case Study
Two Sigma’s Sustainability Science team collaborated with internal engineering teams to find ways to make the company's computing resources more efficient.