Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks
Large language models (LLMs) are remarkable data annotators. They can be used to generate high-fidelity supervised training data, as well as survey and experimental data. With the widespread adoption of LLMs, human gold--standard annotations are key to understanding the capabilities of LLMs and the validity of their results. However, crowdsourcing, an important, inexpensive way to obtain human ann
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About - Crowdsource by Google
Help make AI serve everyone, everywhere Help Google create AI that understands your language and culture. Make your favorite apps and services even more useful and delightful for your community. What is Crowdsource? Crowdsource is a fun, easy way for you to use your own abilities to contribute to the building blocks of Artificial Intelligence (AI). This helps us make the Google products that you l
AI Platform Data Labeling Service | Google Cloud
Send feedback AI Platform Data Labeling Service Stay organized with collections Save and categorize content based on your preferences. AI Platform Data Labeling Service is a Service covered by Google's obligations set forth in the Cloud Data Processing Addendum. AI Platform Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you
Cleaning Big Data: Most Time-Consuming, Least Enjoyable Data Science Task, Survey Says
57% of data scientists regard cleaning and organizing data as the least enjoyable part of their work and 19% say this about collecting data sets. These findings are yet another confirmation of a very widely known and lamented fact of the data scientist’s work experience. In 2009, data scientist Mike Driscoll popularized the term “data munging,” describing the “painful process of cleaning, parsing,
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