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Picture this: It's 3 AM, your AI agent is behaving erratically in production, and users are complaining. You open your observability dashboard and you're greeted with thousands of traces, sessions, and log entries. You know the answer is somewhere in there: but where do you even
IntroductionPost-training is where the real cost of LLM development lives. Taking a pretrained base model and turning it into something actually useful - an assistant that follows instructions, reasons carefully, and behaves safely - requires months of supervised fine-tuning, reward modeling, and…
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