How the DisCIPL System Empowers Small AI Models to Tackle Complex Tasks
The DisCIPL system presents a method for small language models to collaborate on complex reasoning tasks. This approach enables these models to handle problems with specific constraints, such as itinerary planning and budget management. TL;DR The article reports that small language models face challenges with complex, multi-constraint tasks. The DisCIPL system uses a self-steering mechanism to coordinate multiple small models for collaborative problem-solving. Applications include itinerary planning and budgeting, where different models address separate constraints. Limitations of Small Language Models Small language models have inherent constraints in size and processing capacity. They may struggle with tasks that require deep reasoning or handling multiple constraints simultaneously. These challenges limit their ability to solve complicated problems independently. Self-Steering Collaboration in DisCIPL The DisCIPL system employs a self-steerin...