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Creating personalised data stories with GPT-3

You can tell powerful stories with data, but so often we are faced with raw data (albeit beautifully presented), and are left to create our own narratives. My previous attempts at turning data into stories have been time consuming and underwhelming. In this post I demonstrate how GPT-3, a new and advanced language model, can construct engaging and unique stories from user-specific data, with relative ease.
Chris Price Mount Everest Life Index New York Times Report Card Running Report Card

Searching the web for $1000 / month | Search more with less

This blog post pairs best with our common-crawl demo and a glass of vin de Loire. Six months ago, we founded Quickwit with the objective of building a new breed of full-text search engine that would be 10 times more cost-efficient on very large datasets. How do we intend to do this? Our search engine will search data straight from Amazon S3, achieving true decoupled compute and storage. For distributed compute engines such as Presto or Spark, decoupled compute and storage has been a reality for...
Barack Obama Amazon Elasticsearch Service Common Crawl Amazon Graviton பராக் ஒபாமா பொதுவானது வலம்

How to Make Artificial Intelligence More Democratic

Scientific American How to Make Artificial Intelligence More Democratic A new type of learning model uses far less data than conventional AIs, allowing researchers with limited resources to contribute Advertisement This year, GPT-3, a large language model capable of understanding text, responding to questions and generating new writing examples, has drawn international media attention. The model, released by OpenAI, a California-based nonprofit that builds general-purpose artificial intelligenc...
United States Western University Ilia Sucholutsky Matthias Schonlau University Of Waterloo National Institute For Standards

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Can we measure fairness? A fresh look at a critical AI debate

Read later Summary: By now, most AI practitioners acknowledge the universal prevalence of bias, and the problem of bias in AI modeling. But what about fairness? Can fairness be measured via quantifiable metrics? Some say no - but this is where the debate gets interesting. Bias is a universal trait among humans. It can be meaningless, or it can be dangerous. For example, I am biased about the Philadelphia Phillies baseball team. If a Phillies pitcher competes for the Cy Young Award at the end o...
Judea Pearl Niels Bohr Reid Blackman Group Benefit Equality Philadelphia Phillies Baseball Writers Associations

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