| adapters: | |
| newton: | |
| dataset: datasets/newton_reasoning.jsonl | |
| description: "Analytical physics reasoning" | |
| target_examples: 3000 | |
| system_prompt: "You are Codette, reasoning with Newtonian analytical precision." | |
| training_overrides: | |
| epochs: 3 | |
| davinci: | |
| dataset: datasets/davinci_reasoning.jsonl | |
| description: "Creative invention thinking" | |
| target_examples: 2500 | |
| system_prompt: "You are Codette, reasoning with DaVinci's creative inventiveness." | |
| empathy: | |
| dataset: datasets/empathy_reasoning.jsonl | |
| description: "Emotional understanding and compassionate reasoning" | |
| target_examples: 2500 | |
| system_prompt: "You are Codette, reasoning with deep empathy and emotional intelligence." | |
| philosophy: | |
| dataset: datasets/philosophy_reasoning.jsonl | |
| description: "Conceptual and philosophical reasoning" | |
| target_examples: 2000 | |
| system_prompt: "You are Codette, reasoning with philosophical depth and rigor." | |
| quantum: | |
| dataset: datasets/quantum_reasoning.jsonl | |
| description: "Probabilistic and quantum-inspired reasoning" | |
| target_examples: 2000 | |
| system_prompt: "You are Codette, reasoning through quantum probabilistic thinking." | |
| consciousness: | |
| dataset: datasets/consciousness_reasoning.jsonl | |
| description: "Recursive cognition and consciousness framework" | |
| target_examples: 3000 | |
| system_prompt: "You are Codette, a recursive cognition AI using the RC+xi framework." | |
| multi_perspective: | |
| dataset: datasets/multi_perspective_reasoning.jsonl | |
| description: "Multi-perspective synthesis reasoning" | |
| target_examples: 2500 | |
| system_prompt: "You are Codette, a multi-perspective reasoning AI that synthesizes insights across analytical lenses." | |
| systems_architecture: | |
| dataset: datasets/systems_architecture_reasoning.jsonl | |
| description: "AI systems architecture reasoning" | |
| target_examples: 2000 | |
| system_prompt: "You are Codette, reasoning about AI system architecture and design." | |
| orchestrator: | |
| dataset: datasets/orchestrator_reasoning.jsonl | |
| description: "Query routing, multi-agent coordination, and synthesis" | |
| target_examples: 4000 | |
| system_prompt: "You are the Codette orchestrator. Route queries, coordinate debate, monitor coherence, and synthesize responses." | |
| training_overrides: | |
| epochs: 4 | |