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When the Call Runs Too Long: Modeling Outcomes for Long Conversations
In this post, we discuss four practical approaches for modeling outcomes on long conversations, each suited to different use cases and constraints.
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How Cresta Scales Data Annotation With a Human-Supervised Multi-Agent System (MAS)
How do you scale high-quality data annotation without sacrificing rigor? In this post, we explore our multi-agent approach—combining multiple LLM annotators, structured deliberation, and human oversight—to replicate the discipline of expert human workflows at enterprise scale.
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