#Cerebras presents the largest AI processor ever made, breaking its own record.
The wafer scale processor with 2.6 trillion transistors is based on industry-leading #7nm-node offered by #TSMC demonstrating top skills in controlling defect density.
https://t.co/2P1PPiF1Qr
Two key messages here. First, we should carefully choose our KPIs, because we tend to get what we measure. And secondly, the gap between simple and high-end models in terms of prediction accuracy is not that high, even with biggest data sets at hand.
https://t.co/Dn1mKCzIUO
Data quality is the most undervalued asset and the lack of it one of the main reasons why data science projects fail. This article describes a journey in setting up a data catalogue.
https://t.co/ExCQEikF9O
One of seven intreresting stats in this article says: 47% of tech leaders have concerns about whether or not their team has the skills to implement and support AI and ML projects.
https://t.co/BV1MGeN7Xz