Play Browser · 101 plays
Solution plays
Production-grade FAI Protocol plays. Each ships with a manifest, infrastructure code, primitives, and an evaluation suite. All MIT.
Filter
10 of 101 playsClear filters
- 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
- 27-ai-data-pipelinemediumOptimize batch sizes, parallelism, LLM enrichment cost, partition strategy, pipeline scheduling
Optimize batch sizes, parallelism, LLM enrichment cost, partition strategy, pipeline scheduling
- primitives
- 10
- waf
- 5
- industry
- data-platform
- 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
- 47-synthetic-data-factorymediumOptimize data diversity, statistical accuracy, correlation preservation, generation cost, batch size, temperature for variety
Optimize data diversity, statistical accuracy, correlation preservation, generation cost, batch size, temperature for variety
- primitives
- 10
- waf
- 4
- industry
- manufacturing
- azure
- 55-supply-chain-aimediumOptimize forecast model parameters, feature selection, reforecast triggers, risk thresholds, safety stock levels, lead time buffers
Optimize forecast model parameters, feature selection, reforecast triggers, risk thresholds, safety stock levels, lead time buffers
- primitives
- 10
- waf
- 4
- industry
- manufacturing
- 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
- 69-carbon-footprint-trackermediumOptimize Scope 3 estimation accuracy, emission factor updates, data collection automation, supplier engagement rate, reporting efficiency
Optimize Scope 3 estimation accuracy, emission factor updates, data collection automation, supplier engagement rate, reporting efficiency
- primitives
- 10
- waf
- 4
- industry
- data-platform
- 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
- 97-ai-data-marketplacemediumOptimize quality scoring weights, search relevance, pricing strategy, synthetic data fidelity
Optimize quality scoring weights, search relevance, pricing strategy, synthetic data fidelity
- primitives
- 10
- waf
- 4
- industry
- data-platform
- azure