O'Reilly on Data

DECEMBER 12, 2023

The problem with Lanier’s concept of data dignity is that, given the current state of the art in AI models, it is impossible to distinguish meaningfully between “training” and “generating output.” In this instance, RAG is used to identify key concepts and provide links to other resources in the corpus that will deepen the learning experience.

Modeling 251

Modeling Software Sales Statistics 251

CIO Business Intelligence

DECEMBER 20, 2023

There are clearly tremendous tools in this space like GitHub Co-Pilot that developers can use to enhance and augment their productivity,” he says. Of course, value isn’t always easy to measure, underscoring the need for a flexible approach, especially when comparing team dynamics. One such framework is SPACE.

Measurement 119

Measurement Software IT Metrics 119

Insight

AUGUST 12, 2019

These are fun scavenger hunts through Linux systems that are well-designed to teach you the fundamental concepts. I highly suggest you document your progress in GitHub as you go. Consider paying for acloudguru or Linux Academy courses to get certifications in Linux fundamentals (Linux+, RedHat, etc.).

Software 65

Software Data-driven Testing Interactive 65

O'Reilly on Data

MAY 18, 2020

1 And, of course, the risks of model decay are exacerbated in times of rapid change. Materiality is a widely used concept in the world of model risk management , a regulatory field that governs how financial institutions document, test, and monitor the models they deploy. How Material Is the Threat?

Risk 359

Risk Modeling Data Processing Software 359

O'Reilly on Data

NOVEMBER 28, 2023

Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. Looking only at AI users, over a third (38%) report that their companies have been working with AI for less than a year and are almost certainly still in the early stages: they’re experimenting and working on proof-of-concept projects.

Enterprise 269

Enterprise Modeling Testing Reporting 269

AWS Big Data

JUNE 29, 2023

To make things simpler, Kinesis Data Analytics Studio is a notebook environment that uses Apache Flink and allows you to query data streams and develop SQL queries or proof of concept workloads before scaling your application to production in minutes. The in-application stream is mapped to a streaming source such as a Kinesis data stream.

Data Analytics 73

Data Analytics Analytics IoT Data Lake 73

The Unofficial Google Data Science Blog

JULY 18, 2023

This post describes a generic framework for understanding the quality of human-labeled data, based around the concepts of reliability and validity. It then goes on to show how a new framework called cross-replication reliability (xRR) implements these concepts and how several different analytical techniques implement this framework.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52