Migrating from closed to open source models, Together

This post details a migration strategy from closed-source to open-source models, outlining a phased approach: discovery (defining use-cases, leveraging benchmarks, identifying model tiers), evaluation (accuracy vs. performance, using real data replay, setting goals), adaptation (system prompt engineering, inference settings, context engineering, fine-tuning/distillation), decision-making (packaging effort, risks, ROI), and production deployment (canary deployments, roadmap based on effort/risks). It emphasizes that managed services can significantly accelerate this migration.