The missing middle between ICL (temporary) and fine-tuning (permanent). Extract behavioral directions from activation space, test immediately without training, convert to permanent weight changes via Apollo. Key application: extract 'listening' steering vector TODAY, test it in vLLM, verify the direction is right BEFORE spending training compute. The steering vector is the prototype; Apollo training is production. Test before you commit. Applicable immediately via vLLM inference hooks — behavioral improvement without waiting for the full training pipeline. |
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| .. | ||
| checkpoint | ||
| research | ||
| apollo_mini.py | ||
| apollo_worker.py | ||
| DESIGN.md | ||
| export_weights.py | ||
| first_training_step.py | ||
| start_vllm_with_apollo.sh | ||
| train.py | ||
| training_example.py | ||
| vllm_export_hook.py | ||
| weight_mapping.py | ||