Real ChatGPT answer · index seedHpeLIV45lLAcompleteB2B software · AI and automation toolsinformational
What causes catastrophic forgetting during the fine-tuning of open-source language models, and how can I prevent my model from losing its general reasoning capabilities?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What causes catastrophic forgetting during the fine-tuning of open-source language models, and how can I prevent my model from losing its general reasoning capabilities?
2 real searches · 1 real-search pass
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)
Classes come from the query-classifier (a local Laya model). 1 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
catastrophic forgetting large language model fine-tuning causes mitigation replay regularization LoRA research papers Google ↗
continual learning language models catastrophic forgetting gradient interference experience replay elastic weight consolidation survey Google ↗
- Scaling Laws for Forgetting When Fine-Tuning Large Language Models · arxiv.org
- Paper page - Scaling Laws for Forgetting When Fine-Tuning Large Language Models · huggingface.co
- Revisiting Catastrophic Forgetting in Large Language Model Tuning · aclanthology.org
- An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning · arxiv.org
- Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning · aclanthology.org
- Revisiting Catastrophic Forgetting in Large Language Model Tuning · aclanthology.org
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
catastrophic forgetting large language model fine-tuning causes mitigation replay regularization LoRA research papers OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
continual learning language models catastrophic forgetting gradient interference experience replay elastic weight consolidation survey OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |