Getting Started with GitHub Copilot #2
In the second part of our series on GitHub Copilot, we'll look at how it can help you refactor, optimize code, and generate tests. We'll see how it can help you speed up code editing, test work, and improve output quality.
The new month is here and with it the October AI news. As always, here is a selection of the most important news from the world of artificial intelligence.
How to get started with GitHub Copilot?
GitHub Copilot step by step: quick installation, first use and tips on how to get it working smartly.
The new month is here and with it the September AI news. As always, here is a selection of the most important news from the world of artificial intelligence.
How to recognize quality AI training?
Choosing the right AI training will determine whether AI really takes root in a company. Avoid low adoption, security risks and process chaos.
Application Modernization with GitHub Copilot for Java and .NET is now generally available
General availability of application modernization using GitHub Copilot for Java and .NET developers, with emphasis on impact and future direction
How to start implementing AI in your company?
A third of Czech companies are already planning to incorporate artificial intelligence into their processes. Are you one of them? Then this article is for you.
The new month is here and so is the August AI news. As always, here is a selection of the most important news from the world of artificial intelligence.
A new month is here, and with it the July AI news. As always, here is a selection of the most important news from the world of AI.
What is AI procrastination and do you suffer from it too?
You may or may not have come across this term before, but we guarantee you definitely know someone who suffers from it.
As we do every month, we've picked out the highlights and summarised what we think resonated most in AI
How not to miss the AI train? Waiting is not the right strategy.
It doesn't pay to wait with AI. Early integration determines who succeeds - and who gets left behind.
Sustainable approaches and innovation: how to reduce the ecological footprint of AI?
How can AI be more planet-friendly - and what can the industry and each of us do to make it happen?
Data centres: the heart of the digital world and its environmental footprint
Data centres are the foundation of the digital world and AI. How do they work, why do they consume so much energy and what do they have to handle?
The use of artificial intelligence continues to grow. Around 122 million users use ChatGPT alone every day. Yet we still encounter inconsistencies and the assumptions that accompany the whole world of AI.
The ecological impact of AI: What's going on behind the scenes?
Using AI is not without impact - every prompt triggers processes that consume both electricity and water. This article looks at what goes on 'behind the scenes' of AI and why it is important to approach it sustainably.
As we do every month, we've picked out the highlights and summarised what we think resonated the most in AI.
How does AI help in healthcare? What can it already do and how has AI changed care? And how is AI being used by patients vs doctors?
The most searched and most used terms related to artificial intelligence. Short and simple.
The most searched and most used terms related to artificial intelligence. Short and simple.
The most searched and most used terms related to artificial intelligence. Short and simple.
The most searched and most used terms related to artificial intelligence. Short and simple.
Machine Learning vs Deep Learning
The most searched and most used terms related to artificial intelligence. Short and simple.
The most searched and most used terms related to artificial intelligence. Short and simple.
Another month is behind us and with it another batch of news from the world of artificial intelligence. As usual, it's been busy - new models, new architectures, record-breaking contextual windows, and an emphasis on speed and price.