GenerativeAI

In today’s fast-paced business world, having an efficient internal service management (ITSM) system is more important than ever. But let’s be honest—many ITSM systems are neither user-friendly nor scalable, which ends up making them inefficient. Enter Generative AI (GenAI), a technology that could solve this. But how can we take advantage of this technology in an effective use case without risking security? Let’s break it down.

When it comes to generative AI (GenAI) models, size does matter—just maybe not how you'd expect. Both small and large GenAI models have their strengths and weaknesses. Understanding these can help you choose the best model for your needs. Let's break down the pros and cons.🌟 ## The buzz…

Generative AI has revolutionized chatbot training. What once took hours is now completed in minutes. BUT, (there's always a but), the effectiveness of a Generative AI-trained chatbot heavily depends on the quality of its data sources. So, what constitutes a "good" data source for a GenAI chatbot, and what measures can be taken to prepare? Let's find out.

Over a year has passed since ChatGPT was released, and a global Generative AI hype commenced. Suddenly, terms like GPT, LLM, tokens, and hallucinations are everywhere, as if we're all supposed to be tech experts?!