IBM’s AI group released CodeNet, a 14-million-sample dataset for training machine learning models to help software developers be productive.

With Project CodeNet, the researchers at IBM created a multi-purpose dataset that can be used to train machine learning models for various tasks.

The go-to for data scientists seeking huge datasets. Thousands of datasets span themes from AI to finance to health, and they ...

A group of Apple researchers took a very interesting approach to get an AI to teach itself how to build good interfaces in SwiftUI.

BigCode, launched recently by Hugging Face and Service Now, is looking to address some of code-generating LLMs biggest pain points.

Open access, discoverability, reproducibility, code, datasets, and knowledge graphs. This is all good news for research, and machine learning research too, obviously.

9. Optimizing Python Code 10. Crafting Presentations from Datasets ChatGPT Code Interpreter tips In a nutshell, the ChatGPT Code Interpreter is a multi-faceted tool that streamlines a range of tasks.

Mining and metals advocacy group the ICMM has launched its ‘Global Mining Dataset’, to address the lack of reliable, ...