In this article we're going to help you build the vocabulary you need to compare AI models before yo

In this article we're going to help you build the vocabulary you need to compare AI models before you start designing infrastructure around them. We'll talk about what a model is and the main types enterprises use, how to read names and packaging when you self-host, and what size, tokens, and context mean for cost and fit. We'll also talk about common ways to align a model with your domain, including prompts, retrieval-augmented generation (RAG), and fine-tuning. Finally we'll cover some of the practical constraints that usually dictate what ends up on your model shortlist: budget, compliance,via Red Hat Blog https://ift.tt/UrosFgm