AI

Just as the iPhone forever changed humanity once it reached scale, AI tools may be nearing a similar point as tools like ChatGPT take the world by storm.

Testing is critical in software development but can be complicated and time-consuming. Fortunately, artificial intelligence tools can play a huge role in testing. Here are some of the challenges and opportunities AI presents in software testing.

The red-hot interest in OpenAI’s ChatGPT has made it difficult to separate the hype from how to pragmatically and realistically use the tool. Here are some tips to understand the capabilities (and weaknesses) of ChatGPT.

In addition to new programming languages, machine learning, and natural language processing, tech workers should be focusing on problem-solving and communication.

2023 is the year of AI, but how close are we to actually creating an artificial general intelligence? Sci-fi might be able to give us some clues about the future.

Valeria De Albuquerque, SCRUM Master at BairesDev, sheds light on the multiple uses of AI in the field of Agile Methodologies.

Bigger isn’t always better. Even with the impressive results from models like ChatGPT, there is still a case to be made for smaller models and for fine-tuned models that are “experts” in one area.

How we work is rapidly changing as the massive adoption of AI-powered productivity tools is just around the corner. Here’s what you need to know about Microsoft 365 Copilot.

First, there were LLM models, and now we have autonomous agents and programs capable of doing complex tasks without human input. What do we know about them? And are they ready to change the way we do business?

LLMs are in, and ChatGPT is the killer app that has exploded the popularity of AI solutions. If you are thinking about AI for your project, what language are you going to build it in? Here is a comparison of the four most popular languages for Artificial Intelligence.

AI has the potential to change our very way of life, similar to the major shift that occurred when the internet started

Creating software has never been easier with template-based solutions like Low-code and No-code and the new kid on the block, large language models (LLM). Which one fits your vision for your project?

There's a lot of fear surrounding AI. But while there are some consequences of the technology, in general, it's improving our work and lives.

Everyone is talking about ChatGPT, and while impressive, it might not be the be-all and end-all that we want it to be. Can it increase productivity? Of course, Is it like coding with superpowers?

The world of technology is changing, and software development is changing with it. Are traditional IT teams a thing of the past?