On Emotion-Sensitive Decision Making of Small Language Model Agents

Build a toolkit for 'activation steering' that allows developers to tune the emotional state of a model at runtime. This will allow for more granular control over agent decision-making.

Suggested repo: moodSteer

"Beyond simple prompts: steer the emotional disposition of your agent at the neuron level."

Estimated effort: 45h