ChatGPT, developed by OpenAI and launched in November 2022, isn’t the only large language model that has received lots of attention lately, but it’s by far the most widely known. A previous blog post that listed a glossary of AI terms included this brief definition: You may have read over the past year that GPT-4 (the paid version of ChatGPT) has been able to pass many difficult exams. Here are just a few.

Zenoss Chief Product Officer Trent Fitz was recently featured on the "Tech Talks Daily" podcast, hosted by Neil Hughes. Trent is a pioneer in the realm of AIOps with over two decades of experience in artificial intelligence, cloud computing and cybersecurity. His expertise in cloud computing has significantly influenced his work with AIOps, especially in managing the increasing complexity of cloud-based infrastructure.

In a previous blog post, which was a glossary of terms related to artificial intelligence, I included this brief definition of "neural networks": Let’s go a bit deeper on that. Neural networks are a class of artificial intelligence (AI) and machine learning models inspired by the structure and functioning of the human brain. They are a subset of AI techniques that have gained significant popularity due to their ability to learn and make decisions from data.

In a previous blog post, which was a glossary of terms related to artificial intelligence, I included this brief definition of "reinforcement learning": I expect this definition would prompt many to ask, "What rewards can you give a machine learning agent?" A gold star? Praise? No, the short answer is: numerical values. In reinforcement learning, rewards are crucial for training agents to make decisions that maximize their performance in a given environment.

I previously posted a blog that was a glossary of terms related to artificial intelligence. It included this brief definition of "generative AI": I expect for someone learning about AI, it's frustrating to read definitions of terms that include other terms you may not understand. In this case, generative adversarial networks — GANs — is probably a new term for many. This post will explain what GANs are for that reason — and also because they’re super cool.

In a previous blog post, which was a glossary of terms related to artificial intelligence, I included this brief definition of "data preprocessing": It is common for people familiar with these matters to talk about not having clean data. When dealing with AI for whatever your needs are, clean data is crucial for the quality of results. Garbage in, garbage out, as they say. So, let’s dive into what it means to have clean data.