Smart Selector
Leveraged the Fireworks AI and its blog on best models to choose from. This project helps you minimize operational costs by intelligently selecting the most appropriate model for each task. Instead of always defaulting to large, expensive models, the system evaluates the complexity of the input and chooses a model that balances accuracy, speed, and token usage. By reducing unnecessary token consumption, you not only save on API costs but also improve overall performance. For example: Short queries → lightweight models are chosen to keep token usage minimal. Complex tasks → larger models are selected only when needed, ensuring accuracy without waste. Adaptive learning → the selector continuously refines its choices based on prior results, making future runs even more cost‑efficient.
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For Innovators & Creators