Trace a worked example

Goal: improve the legal research assistant using fine-tuning vs RAG without breaking protected slices.

Mechanism reminder for fine-tuning vs RAG: RAG retrieves and inserts passages; fine-tuning runs gradient updates on task examples.

Baseline and shock: If regulations change weekly, a 2-week fine-tune cadence cannot beat an index refreshed hourly on citation freshness.

Tradeoff in play for fine-tuning vs RAG: Tuning can lock tone and is slow/expensive to refresh for facts. RAG cites sources and fails when retrieval misses. Doing both raises complexity.

Ship decision: RAG for authorities with hourly index; small style tune optional; never rely on weights for amendment text.

Rollback triggers for fine-tuning vs RAG must cite citation support, freshness lag, style rubric, factual error rate, $/query. If you cannot name a tolerated regression on the legal research assistant, do not promote the change.

Keep the fine-tuning vs RAG decision record beside the legal research assistant code paths that implement it. Future you will not remember why a default exists unless the evidence is linked from the config for fine-tuning vs RAG.

Also pin one numeric memory from this fine-tuning vs RAG chapter: If regulations change weekly, a 2-week fine-tune cadence cannot beat an index refreshed hourly on citation freshness. That number is not decoration; it is a template for how claims about fine-tuning vs RAG on the legal research assistant should look in design docs. Scoped specifically to fine-tuning vs RAG / legal research assistant / worked-trace.

People confuse fine-tuning vs RAG with neighboring buzzwords when debugging the legal research assistant. Before changing prompts, ask whether the broken stage was evidence gathering, the fine-tuning vs RAG judgment itself, validation, or the product action. Fixing the wrong stage creates folklore (“we tried fine-tuning vs RAG and it failed”) that blocks the next team on the legal research assistant. Scoped specifically to fine-tuning vs RAG / legal research assistant / worked-trace.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to fine tuning vs rag rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to fine tuning vs rag rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to fine tuning vs rag rather than generic AI advice.

For fine tuning vs rag, add acceptance test 1: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 2: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 3: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 4: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 5: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 6: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 7: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 8: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 9: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 10: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 11: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 12: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 13: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 14: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 15: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 16: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 17: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 18: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 19: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 20: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 21: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 22: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 23: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 24: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 25: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 26: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 27: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 28: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 29: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 30: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 31: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.

For fine tuning vs rag, add acceptance test 32: evidence source, threshold, and signer. Keep it unique to this chapter's scenario.