Training and evaluating artificial intelligence (AI) models can be complex and time-consuming. To maximize the performance of your AI model, it is important to follow best practices for each step of the training and evaluation process. Developing and implementing AI in your business can encounter various challenges resulting in different outcomes. This is why training is one of the most critical aspects, which is equally challenging and can determine the success or failure of your AI project. As such, business leaders and developers need to follow certain processes and practices to help streamline the training process. This article will discuss the best practices for training and evaluating AI models.

Artificial intelligence is among the technologies that have completely revolutionized the 21^st century. It is part of our everyday life and is becoming crucial in almost everything we do in our daily lives. What many people do not understand is that AI has different branches, each doing specific tasks. This article helps shed light on types of artificial intelligence and will explain different branches and categories of AI.

The adoption of artificial intelligence (AI) is moving fast from an experiential technology to an important part of the business. In every industry, more use cases are under development for AI to drive business efficiencies, data optimization, enhancement of customer experience and support business goals and initiatives. Heading to 2023, AI continues to be an important point of conversation, with various trends showing that AI is the present and future of technology. Watch these trends in AI that shows the direction this technology is taking.

Artificial intelligence (AI) has indeed come from far. From being a technology thought by many as only applicable in fiction movies to the one that is now changing almost every aspect of our lives, AI is touted as one of the best technologies of the century. Through AI, we now see various applications such as self-driving cars, smart virtual assistants, smart robots and chatbots, to name a few. Since AI became a go-to technology in various industries and our daily lives, a debate pitting AI and human intelligence has emerged and continues to increase with time. While we all agree that human intelligence and AI are different, we need to go deeper by discussing what these differences are. But first, let us start by understanding what artificial intelligence and human intelligence are.