Integrate LLMs into data pipelines for extraction, classification, and enrichment with cost, reliability, and validation controls.
## CONTEXT By 2026, LLMs have become a practical pipeline component for tasks that resisted traditional ML: extracting structured fields from messy text, classifying with nuance, summarizing, and enriching records. But naively calling an LLM per row blows up cost, introduces nondeterminism, and risks silent…
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