This demo is part of a series on fine-tuning AI models. Article availablehere
I strongly recommend reading the article to understand what is happening as the two versions of the model run. To see the full impact of the fine-tune, slide the Cringe factor to 5+ and compare the outputs.
Interactive Demo
This demo runs a fine-tuned model on a GPU that sleeps between uses. Click to activate — it may take ~60 seconds to warm up on first run.
This is a small model and probably due to the specific prompting, some of the outputs can be a little nonsensical. This is an experiment rather than a production-ready fine-tune. I will work to further to try and improve this. However, if we pay attention to the tone and intent of the posts rather than how it reads as a whole, there are some interesting patterns.
The Cringe Factor has the largest overall impact on the model outputs, you can see this changes the prompt quite significantly as you move the slide towards 10.
At a Cringe Factor of 1–2, the two posts sound different, but honestly either could read as a down-to-earth(ish) post you might see on LinkedIn. The key parts of the prompt are:
Transform mundane professional updates into LinkedIn posts. ... Refer to people by first name only, never as @Name. Write in a professional but enthusiastic tone.
By the time we get to 4, the models are diverging, and the base Gemma4-E2B is sounding increasingly unhinged. Here are the parts of the prompt that changed:
Transform mundane professional updates into LinkedIn posts. ... Write in an over-the-top enthusiastic tone. Heavy buzzwords. Multiple emojis. Treat this as a significant milestone and extract an unsolicited life lesson.
As you turn the Cringe Factor higher, the Base Gemma4-E2B model becomes almost ‘cartoon-villain-like’ in its responses, very over-the-top, often repeating phrases and using a very un-LinkedIn writing style. The fine-tuned model is pretty much sticking to the script and produces some very amusing outputs: a parody of a LinkedIn post. Here is the same part of the prompt at a 10:
Transform mundane professional updates into LinkedIn posts. ... Treat this mundane event as a profound turning point that changed everything. Unsolicited wisdom. Humble brags that aren’t humble. Include a dramatic pause. End with a rhetorical question or a call to action.
So you can see, the fine-tuning is taking effect, and increasingly so as we dial up the absurdity we want from our post.
Another interesting observation: the fine-tuned Gemma4-E2B will also apply the tropes (‘No one is talking about’, ‘Here’s the uncomfortable truth’, etc) in a more coherent, ‘LinkedIn’ way, suggesting it has learned the style and how to use those openers from its fine-tuning. The baseline Gemma4-E2B model does use them, but it feels far more clunky in how it applies them.