Quick clarification though - Nityasha isn't actually an SLM (Small Language Model) itself. We use existing large models (like GPT-4, Claude) but add a persistent memory layer on top + specialized features like Study Mode.
The "showing results" part is what we're most proud of - we tried to focus on actually being useful for daily tasks rather than just being impressive in demos.
What kind of tasks are you using it for? Would love to hear more about your workflow!
Quick clarification though - Nityasha isn't actually an SLM (Small Language Model) itself. We use existing large models (like GPT-4, Claude) but add a persistent memory layer on top + specialized features like Study Mode.
The "showing results" part is what we're most proud of - we tried to focus on actually being useful for daily tasks rather than just being impressive in demos.
What kind of tasks are you using it for? Would love to hear more about your workflow!