Real ChatGPT answer · index seedZTtS8OTW3EwcompleteB2B software · AI and automation toolsinformational

What are the best practices for fine-tuning open-source LLMs on proprietary ticketing data without causing catastrophic forgetting of general reasoning?

ChatGPTgpt-62 queries11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What are the best practices for fine-tuning open-source LLMs on proprietary ticketing data without causing catastrophic forgetting of general reasoning?
2 real searches · 1 real-search pass
best practices prevent catastrophic forgetting LLM fine-tuning domain adaptation replay LoRA evaluation 2024 2025Google ↗
OBSERVEDReason
continual learning large language models catastrophic forgetting rehearsal data parameter efficient fine tuning researchGoogle ↗
OBSERVEDReason

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (2)
Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
best practices prevent catastrophic forgetting LLM fine-tuning domain adaptation replay LoRA evaluation 2024 2025 Google ↗
continual learning large language models catastrophic forgetting rehearsal data parameter efficient fine tuning research Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
best practices prevent catastrophic forgetting LLM fine-tuning domain adaptation replay LoRA evaluation 2024 2025
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
continual learning large language models catastrophic forgetting rehearsal data parameter efficient fine tuning research
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1