Artificial intelligence How to build a better AI benchmark To fix the way we test and measure models, AI is learning tricks from social science.

Most companies are already redirecting software budgets into AI experiments, with ChatGPT already in daily use for many teams ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

JetBrains unveils DataSpell IDE designed to make data scientists more more productive when writing code to train AI models.

Key Takeaways : Creating AI-powered web applications is accessible to non-coders with the right tools and guidance. Most components are free, with a minor cost for the Anthropics API. Essential ...

Organizations that wish to be adaptable as business begins to move at the speed of AI-innovation must ensure that their workers are trained to be AI-resilient.

Finding and acquiring the right data to build an enterprise dataset is perhaps the most critical task facing organisations that want to build their own artificial intelligence (AI) models. Even ...

Building an AI-skilled workforce through upskilling is a strategic approach that leverages existing talents and aligns with the needs of the modern enterprise.

Proficiency in programming languages, particularly Python, is crucial due to its simplicity, versatility, and widespread use in AI development.