Solving a machine-learning mystery A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data Date: February 7 ...

This article explores how harnessing big data and analytics can radically transform traditional business models, enabling companies to adapt to evolving markets.

ChatGPT and large language model bias | 60 Minutes ChatGPT, the artificial intelligence (AI) chatbot that can make users think they are talking to a human, is the newest technology taking the ...

Examples of résumé documents and personal disclosures found in CommonPool’s small-scale data set. For each sample, the type of URL site is shown at the top, the image in the middle, and the ...

How user data is used on LinkedIn Examples of data LinkedIn may use to train AI models include articles that users post.

For example, if we want to train a model to detect a rare disease, we may need more data to work with. But we still want the models to get more accurate over time.

As an example, data modeling can be used as a pre-processing technique to extract raw data from different sources in order to build unified datasets for analysis.

It’s no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in real settings. This is typically put down to a mismatch between the data the AI ...

Logical data models detail how entities in the conceptual model map to tables, fields, indexes and relationships within a relational database. For example, a relational table may represent an ...

This is an example of the association bias that occurs when the data used within any predictive algorithm or model has inherent biases associated with gender, race, ethnicity, culture, etc.