AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

Those posts – which violated Grok’s own acceptable use policy through the sexualization of children – have since been deleted ...

Abstract: The study presents a methodology for automatically creating an annotated dataset for further use in training neural networks. The method is based on the Crisp-DM framework and consists of 6 ...

Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using Google’s Gemini-2.5 models. Here are the details. Apple’s research team has ...

In this video I share 2 new scripts that you can utilize to post process Stable Diffusion generated classification / regularization images in higher resolution. With these 2 custom scripts made by me, ...

A large image dataset used to develop AI tools for detecting nudity contains a number of images of child sexual abuse material (CSAM), according to the Canadian Centre for Child Protection (C3P). The ...