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Structured Outputs and Constrained Decoding

Constrained decoding rules out tokens that break a grammar. Follow a two-choice example through masking, completion and rollback, then separate valid structure from correct, authorized tool arguments.

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RELATED CONCEPTS

Tokens, Embeddings and Logits Speculative Decoding Serving Benchmarks That Do Not Lie Model Onboarding: From Hugging Face to Production Evaluation Metrics and Data Splits

LESSONS THAT TEACH THIS

From Model to ServiceMeasure useful answers before renting more compute14 min→Inference EngineeringEvaluate a quantized candidate against explicit quality and serving limits26 min→Inference EngineeringValidate a streamed tool call before allowing execution20 min→

PRACTICE THIS IN REAL QUESTIONS

Open-Weights Models & Serving EnginesEvery response must be valid JSON against a schema. How do you serve that at scale?→Open-Weights Models & Serving EnginesYour agent product's tool-call success rate fell from 94 to 61 percent after a deploy. Debug it.→CUDA, Triton & Kernel EngineeringAn AI-generated kernel passes random tests and claims a 3x speedup. What would you verify?→LLM Inference & ServingFirst-token latency is fast, but the reasoning model's answer takes seconds. What do you check?→Kubernetes, Slurm & GPU SchedulingOne fleet: training that wants every idle GPU, and inference with a p99 SLO. Separate pools, or one pool with preemption? Show the numbers.→GPU & Accelerator ArchitectureHalf the weights are zero. Why did serving not get faster?→