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2021 Data/AI Salary Survey

O'Reilly Media

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results then provide a place to start thinking about what effect the pandemic had on employment. The average salary for data and AI professionals who responded to the survey was $146,000.

AI 145
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Bundesliga Match Fact Ball Recovery Time: Quantifying teams’ success in pressing opponents on AWS

AWS Machine Learning Blog

Since Steffen Baumgart took over as coach at FC Köln in 2021, the team has managed to lift themselves from the bottom and has established a steady position in the middle of the table. Throughout a match, the positions of the players and the ball are tracked by cameras around the pitch and stored as coordinates in a positional data stream.

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Predicting new and existing product sales in semiconductors using Amazon Forecast

AWS Machine Learning Blog

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. The missing data is the result of lack of sales during every month. This is a joint post by NXP SEMICONDUCTORS N.V.

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Extract non-PHI data from Amazon HealthLake, reduce complexity, and increase cost efficiency with Amazon Athena and Amazon SageMaker Canvas

AWS Machine Learning Blog

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock the value of their data, identify trends, patterns, and predictions, and differentiate themselves from their competitors.

ML 69
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Evaluation Derangement Syndrome (EDS) in the GPU-poor’s GenAI. Part 1: the case for Evaluation-Driven Development

deepsense.ai

analyze its intricate relationship with GPU inequality [4] and address how the ‘GPU-rich’ (a handful of firms with thousands of the strongest GPUs, as well as resources like data, engineers, and labelers) approach the problem of GenAI evaluation, in contrast to the harsh realities of the ‘GPU-poor’ (everyone else, really).

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How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

This post is co-written with Suhyoung Kim, General Manager at KakaoGames Data Analytics Lab. In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker.

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Exploring Creativity in Large Language Models: From GPT-2 to GPT-4

Topbots

Generated by the author This article was originally published on the author’s blog and re-published to TOPBOTS with permission from the author. For all of the experiments in this article, unless otherwise mentioned, I called each GPT model five times per unique prompt to account for randomness in its generations. I used gpt-3.5-turbo