Tooling
Pyrecall detects catastrophic forgetting in LLM fine-tuning
A new open source tool snapshots model skill scores before and after fine-tuning to flag performance regressions and roll back LoRA adapters.
1 min read
Sourcer/machinelearning
Pyrecall, a new open source tool, addresses a gap in the fine-tuning workflow by detecting catastrophic forgetting in large language models. The tool snapshots skill scores before and after fine-tuning, flags regressions when they occur, and enables rollback of LoRA adapters by name. Version 0.1.0 i...
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Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- r/machinelearning
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai