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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 The article explains how LLMs work in simple terms, covering tokens, next token predictions, and model training.
Lite evaluation by llama-4-scout-wai-psq · editorial channel only · no per-section breakdown available
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Longitudinal
· 6 evals | |
Audit Trail
12 entries | 2026-03-05 13:31 | eval_success | PSQ evaluated: g-PSQ=0.280 (3 dims) | - - | | 2026-03-05 13:31 |
eval
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Evaluated by llama-4-scout-wai-psq: +0.28 (Mild positive) | | | 2026-03-05 13:29 | eval_success | PSQ evaluated: g-PSQ=0.440 (3 dims) | - - | | 2026-03-05 13:29 |
eval
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Evaluated by llama-3.3-70b-wai-psq: +0.44 (Moderate positive) 0.00 | | | 2026-03-05 13:25 | eval_success | PSQ evaluated: g-PSQ=0.440 (3 dims) | - - | | 2026-03-05 13:25 |
eval
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Evaluated by llama-3.3-70b-wai-psq: +0.44 (Moderate positive) | | | 2026-03-02 11:48 | eval_success | Lite evaluated: Neutral (0.00) | - - | | 2026-03-02 11:48 |
eval
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Evaluated by llama-4-scout-wai: 0.00 (Neutral) 0.00 | | | reasoning ED, neutral tech explanation | | 2026-03-02 11:44 | eval_success | Lite evaluated: Neutral (0.00) | - - | | 2026-03-02 11:44 |
eval
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Evaluated by llama-4-scout-wai: 0.00 (Neutral) | | | reasoning ED, neutral tech explanation | | 2026-03-02 11:41 | eval_success | Lite evaluated: Neutral (0.00) | - - | | 2026-03-02 11:41 |
eval
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Evaluated by llama-3.3-70b-wai: 0.00 (Neutral) | | | reasoning Tech tutorial on LLMs | | |
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