Ben Wellington Talks AI, Data Science, and Improv on The Gradient Podcast
Ben Wellington joins The Gradient podcast to discuss his career at the intersection of finance and AI, along with key lessons he's learned on the journey.
Ben Wellington joins The Gradient podcast to discuss his career at the intersection of finance and AI, along with key lessons he's learned on the journey.
Our latest insights
Two Sigma engineers and product managers explain how semantic types can help bring clarity to your meta-data strategy.
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 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.
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.
An overview of some of the ways Two Sigma supports the growth and development of our engineers, helping them to cultivate their ability to think about hard problems in novel ways and apply fresh approaches to solving them.
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Sustainability Science in Action: Measuring the Carbon Intensity of a Compute Environment
We highlight some of the early initiatives the Sustainability Science team has led to accurately determine the carbon footprint of certain parts of Two Sigma’s compute environment, with a specific focus on a critical first step: How to measure power consumption at the server level accurately.