Crypstocks AI
Technology
Precision SLM, knowledge distillation, and agentic workflows powering Luna AI.
Architecture Highlights
- Specialized SLM trained via knowledge distillation from leading LLMs (e.g., Claude 4 Sonnet, GLM 4.5), scoped to crypto for speed and fidelity.
- Agentic workflow: intent-based filtering and routing for accurate task handling.
- Multi-processor design: context compression, parallel processing, and result aggregation.
- Tool integration: preparation and escalation flows to keep context managed while enabling data fetching, analysis, planning, and safe execution.
This focused SLM approach minimizes computational overhead while improving domain performance, adaptability to new protocols, and user-perceived latency.