Below is a minimal SFT recipe (works for “text-only” fine-tuning). See also our vision fine-tuning section.
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To solve the problem of infrequently accessed payloads filling up our disk space, we'd prefer all of our hot payloads are stored in Postgres (primarily in toast tables), while cold payloads are offloaded to S3 with a reference stored in the database for full consistency. This would give us fast access for latency-sensitive workloads but flexible and cheap storage for older tasks, where latency isn't a concern.
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