What if you could influence an LLM's output not by breaking its rules, but by bending its probabilities?
Using logprobs and token distribution visualizations, we reveal how prompts can be carefully crafted to guide the model’s behavior.
blog.sicuranext.com/influencing-...
blog.sicuranext.com
Influencing LLM Output using logprobs and Token Distribution
What if you could influence an LLM's output not by breaking its rules, but by bending its probabilities? In this deep-dive, we explore how small changes in user input (down to a single token) can shif...
