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Production-grade FAI Protocol plays. Each ships with a manifest, infrastructure code, primitives, and an evaluation suite. All MIT.
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- 13-fine-tuning-workflowsmallOptimize LoRA rank, learning rate, epochs, batch size, compute selection, cost per training run
Optimize LoRA rank, learning rate, epochs, batch size, compute selection, cost per training run
- primitives
- 10
- waf
- 3
- industry
- education
- azure
- 43-ai-video-generationmediumOptimize quality/cost trade-off, resolution presets, batch queue throughput, preview workflow, frame sampling rate
Optimize quality/cost trade-off, resolution presets, batch queue throughput, preview workflow, frame sampling rate
- primitives
- 10
- waf
- 4
- industry
- media
- azure
- 62-federated-learning-pipelinelargeOptimize convergence speed, client selection strategy, DP epsilon/utility trade-off, aggregation weights, round count, learning rate schedule
Optimize convergence speed, client selection strategy, DP epsilon/utility trade-off, aggregation weights, round count, learning rate schedule
- primitives
- 10
- waf
- 5
- industry
- education
- azure
- 65-ai-training-curriculummediumOptimize learning path effectiveness, completion rates, assessment difficulty calibration, content freshness, cost per learner
Optimize learning path effectiveness, completion rates, assessment difficulty calibration, content freshness, cost per learner
- primitives
- 10
- waf
- 4
- industry
- media
- azure
- 93-continual-learning-agentmediumOptimize memory retention TTL, distillation thresholds, reflection frequency, retrieval relevance
Optimize memory retention TTL, distillation thresholds, reflection frequency, retrieval relevance
- primitives
- 10
- waf
- 4
- industry
- education
- azure