Tag: Token Budget

3 articles

• LLM Pretraining Data Mixture in Production: Controlling Capability Bias with Mixture Manifest, Token Budget, and Domain Loss Feedback

  A systematic guide to engineering data mixtures for LLM pretraining: using immutable Mixture Manifests to freeze domain weights and corpus versions, Token Budgets for precise accounting, and proxy model search, domain loss feedback, starvation protection, and replay gates to continuously calibrate capability structure. Turn mixture ratios from probabilistic parameters into auditable, reproducible training contracts.

  07/29/2026 LLM Pretraining / Data Mixture / DoReMi / RegMix / Data Governance / Token Budget / Mixture Manifest

• LLM Output Length Governance in Production: Using Finish Reason, Token Budget, and Continuation Strategies to Prevent Truncated Answers

  A practical guide to preventing truncated LLM responses in production. Learn how to use Finish Reason, Token Budget, output tiering, continuation ledger, and deployment gates to ensure output completeness and reduce user-facing incomplete answers.

  07/10/2026 LLM API / Token Budget / Finish Reason / Reliability / Production Engineering

• LLM Multi-Tenant Quota Gateway in Production: Token Budgets, Rate Limits, and Fair Scheduling for Shared Model Pools

  A systematic guide to building a multi-tenant quota gateway for shared LLM inference platforms, covering request rate limiting, token budgets, fair scheduling, cost attribution, and degradation strategies to prevent a few tenants from overwhelming the model pool and controlling billing risks.

  07/09/2026 LLM Gateway / Rate Limit / Multi Tenant / Inference Serving / Cost Control / Fair Scheduling / Token Budget