Another category of language models that you will come across is the specialized model. This is more of a catch-all category for a lot of different types of models.

Reasoning models are trained and tuned for tasks requiring, well, reasoning.  Not helpful, I know.  

Sometimes it is hard to define these without using the same words…

Let’s start with a blank spreadsheet:

Now let’s say that you want a table full of dummy data, but you don’t want to type everything out. 

Add column headings and make sure that they accurately describe the type of information that you want in the column.

You can use Gemini...

These are like the Toyota Camrys of AI models - pretty good at a broad range of things.  

If you say this one fast enough, it sounds like bacon, so it must be good.  Right?  Isn’t that how the world works?  

If you read theearlier post about SLMs (small language models), you might be wondering how SLMs compare to LLMs (large language models).  

If you use any of the popular AI chatbot tools like ChatGPT, Gemini, Claude, Copilot, Perplexity, etc., you’ve probably come across a wide variety of models to choose from.  

AI tools and solutions are changing education at all levels.  

Prompt engineering is arguably the most important skill in this era of AI tools.