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Zwei Frontier-Modelle kommen zum exakt gleichen Listenpreis – und OpenAIs Benchmark-Tabelle und der unabhängige Index widersprechen sich darin, wer führt.
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12 GPT-4 Open-Source-Alternativen
GPT-4 Open-Source-Alternativen, die eine ähnliche Leistung bieten können und weniger Rechenressourcen für die Ausführung benötigen. Diese Projekte werden mit Anleitungen, Codequellen, Modellgewichten, Datensätzen und Chatbot-UI geliefert.
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GPT-4 Open-Source-Alternativen, die eine ähnliche Leistung bieten können und weniger Rechenressourcen für die Ausführung benötigen. Diese Projekte werden mit Anleitungen, Codequellen, Modellgewichten, Datensätzen und Chatbot-UI geliefert.
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Alle Beiträge
How the #MeToo Movement Spread on Twitter
What can data science tell us about tweets with the #MeToo hashtag?
Hugo Bowne-Anderson
14. November 2017
A Data Scientist's Guide to Environment Variables
As a data scientist, you might have to configure environment variables for data science projects locally or globally, on a platform. This guide will show you all you need to know!
Eric Ma
9. November 2017
Why Scientists Should Use Python for Scientific Computing
Discover the scope of Python for research, why scientists should use Python for scientific computing and how the Python community can effectively aid scientific research.
Hugo Bowne-Anderson
7. November 2017
Cloud Computing and Architecture for Data Scientists
Discover how data scientists use the cloud to deploy data science solutions to production or to expand computing power.
Alex Castrounis
20. September 2017
Spaghetti Plots and Hurricanes' Paths
Discover why (not) to use spaghetti plots to convey the uncertainty of hurricanes' predicted paths and their impact on interpretation.
Hugo Bowne-Anderson
18. September 2017
What We Learned From Teaching 1M People Data Science
Some insights about what we learned from teaching data science to 1 million people
Karlijn Willems
16. Mai 2017
IPython Or Jupyter?
A discussion of the evolution of and some of the key differences between IPython and Jupyter.
Karlijn Willems
11. Mai 2017
R Correlation Tutorial
Get introduced to the basics of correlation in R: learn more about correlation coefficients, correlation matrices, plotting correlations, etc.
David Woods
20. März 2017
Intermediate Python for Data Science: Matplotlib
Learn to visualize real data with matplotlib's functions.
Karlijn Willems
17. März 2017
RDocumentation: Scoring and Ranking
Learn more on how the search results on RDocumentation are generated!
Ludovic Vannoorenberghe
10. März 2017
Data Scientist vs Data Engineer
The differences between data engineers and data scientists explained: responsibilities, tools, languages, job outlook, salary, etc.
Karlijn Willems
9. Dezember 2024
Data Engineering vs. Data Science Infographic
Check out our newest infographic comparing the roles of a Data Engineer and a Data Scientist
Jacob Moody
13. Februar 2017