Analytics Maturity
Linear Digressions20 Touko 2018

Analytics Maturity

Data science and analytics are hot topics in business these days, but for a lot of folks looking to bring data into their organization, it can be hard to know where to start and what it looks like when they're succeeding. That was the motivation for writing a whitepaper on the analytics maturity of an organization, and that's what we're talking about today. In particular, we break it down into five attributes of an organization that contribute (or not) to their success in analytics, and what each of those mean and why they matter. Whitepaper here: bit.ly/analyticsmaturity

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Better Know a Benchmark: Humanity's Last Exam

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17 Elo 23min

A Scientific Deep Dive into Overconfident LLMs: Interview with Kaitlyn Zhou (Cornell)

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10 Elo 33min

Reasoning Models: When LLMs Went Beyond Fancy Autocomplete

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Distillation, or, How to Steal a Model

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27 Heinä 23min

Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)

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Still summer break: back next week

Still summer break: back next week

Still summer break: back next week by Katie Malone

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Summer break: back soon

Summer break: back soon

Summer break: back soon by Katie Malone

6 Heinä 36s