IBM Big Data Hub

JANUARY 10, 2024

Data is often divided into three categories: training data (helps the model learn), validation data (tunes the model) and test data (assesses the model’s performance). The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming.

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

Cloudera

NOVEMBER 15, 2021

This blog discusses quantifications, types, and implications of data. The activity in the field of learning with limited data is reflected in a variety of courses , workshops , reports , blogs and a large number of academic papers (a curated list of which can be found here ). Quantifications of data. Computational requirements.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

IBM Big Data Hub

OCTOBER 12, 2023

Our collective understanding of realized AI and theoretical AI continues to shift, meaning AI categories and AI terminology may differ (and overlap) from one source to the next. However, the types of AI can be largely understood by examining two encompassing categories: AI capabilities and AI functionalities. Explore watsonx.ai

Machine Learning 67

Machine Learning Deep Learning Interactive Modeling 67

Insight

APRIL 9, 2019

NASA [Public domain] In this blog, I’ll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. The biggest categories of cost for hardware designers and manufacturers are testing, verification, and calibration of their control systems.

Manufacturing 75

Manufacturing Machine Learning Testing Software 75

IBM Big Data Hub

FEBRUARY 23, 2024

Italian authorities are investigating OpenAI for suspected violations, even going so far as to ban ChatGPT briefly. Identify and protect special category data When inventorying data, organizations should make a note of any especially sensitive data that requires extra protection. Irish regulators hit Meta with a EUR 1.2

Measurement 74

Measurement Risk Data Collection Data Processing 74

DataRobot Blog

MARCH 9, 2022

One model developed by OpenAI trains on 82 million Amazon reviews that it takes over a month to process! The only caveat is that they must be adapted to classify inputs into one of n emotional categories rather than a binary positive or negative. The key to training unsupervised models with high accuracy is using huge volumes of data.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

IBM Big Data Hub

FEBRUARY 9, 2024

The incoming generation of interdisciplinary models, comprising proprietary models like OpenAI’s GPT-4V or Google’s Gemini, as well as open source models like LLaVa, Adept or Qwen-VL, can move freely between natural language processing (NLP) and computer vision tasks. .” on most standard benchmarks.

Cost-Benefit 94

Cost-Benefit Modeling Data-driven Enterprise 94

O'Reilly on Data

FEBRUARY 18, 2025

What categories of errors are we seeing? For example, OpenAI offers batch processing thats cheaper but slower. Footnotes Diagram adapted from my blog post, Your AI Product Needs Evals . Does the AI have the proper context to help users? How is this being measured? What is the impact of recent changes to the AI?

Testing 166

Testing Metrics Modeling Measurement 166