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Alpha This system is experimental. Scores and classifications are early-stage research and may be unreliable. Methodology → |
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| Summary ~lite Technical article providing practical tips for finetuning LLMs using LoRA, written by a credible AI expert.
Lite evaluation by llama-4-scout-wai-psq · editorial channel only · no per-section breakdown available
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Longitudinal
· 2 evals | |
Audit Trail
5 entries | 2026-03-19 01:38 | eval_success | PSQ evaluated: g-PSQ=0.280 (3 dims) | - - | | 2026-03-19 01:38 |
eval
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Evaluated by llama-4-scout-wai-psq: +0.28 (Mild positive) | | | 2026-03-19 01:34 | eval_success | Lite evaluated: Neutral (0.00) | - - | | 2026-03-19 01:34 |
eval
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Evaluated by llama-4-scout-wai: 0.00 (Neutral) | | | reasoning Technical article on finetuning LLMs, no explicit human rights discussion | | 2026-03-19 01:34 | rater_validation_warn | Lite validation warnings for model llama-4-scout-wai: 1W 0R | - - | | |
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