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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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Model Comparison
| Model | Editorial | Structural | Class | Conf | SETL | Theme | | @cf/meta/llama-4-scout-17b-16e-instruct lite | ND | ND | — | 0.83 | — | — | | @cf/meta/llama-3.3-70b-instruct-fp8-fast lite | ND | ND | — | 0.80 | — | — | | @cf/meta/llama-4-scout-17b-16e-instruct lite | 0.00 | ND | Neutral | 0.90 | 0.00 | AI Technology | | @cf/meta/llama-3.3-70b-instruct-fp8-fast lite | 0.00 | ND | Neutral | 0.90 | 0.00 | AI technology | | openai/gpt-oss-120b:free lite | ND | ND | — | — | — | — | | google/gemma-3-27b-it:free lite | ND | ND | — | — | — | — | | qwen/qwen3-coder:free lite | ND | ND | — | — | — | — | | Section | @cf/meta/llama-4-scout-17b-16e-instruct lite | @cf/meta/llama-3.3-70b-instruct-fp8-fast lite | @cf/meta/llama-4-scout-17b-16e-instruct lite | @cf/meta/llama-3.3-70b-instruct-fp8-fast lite | openai/gpt-oss-120b:free lite | google/gemma-3-27b-it:free lite | qwen/qwen3-coder:free lite | | Preamble | ND | ND | ND | ND | ND | ND | ND | | Article 1 | ND | ND | ND | ND | ND | ND | ND | | Article 2 | ND | ND | ND | ND | ND | ND | ND | | Article 3 | ND | ND | ND | ND | ND | ND | ND | | Article 4 | ND | ND | ND | ND | ND | ND | ND | | Article 5 | ND | ND | ND | ND | ND | ND | ND | | Article 6 | ND | ND | ND | ND | ND | ND | ND | | Article 7 | ND | ND | ND | ND | ND | ND | ND | | Article 8 | ND | ND | ND | ND | ND | ND | ND | | Article 9 | ND | ND | ND | ND | ND | ND | ND | | Article 10 | ND | ND | ND | ND | ND | ND | ND | | Article 11 | ND | ND | ND | ND | ND | ND | ND | | Article 12 | ND | ND | ND | ND | ND | ND | ND | | Article 13 | ND | ND | ND | ND | ND | ND | ND | | Article 14 | ND | ND | ND | ND | ND | ND | ND | | Article 15 | ND | ND | ND | ND | ND | ND | ND | | Article 16 | ND | ND | ND | ND | ND | ND | ND | | Article 17 | ND | ND | ND | ND | ND | ND | ND | | Article 18 | ND | ND | ND | ND | ND | ND | ND | | Article 19 | ND | ND | ND | ND | ND | ND | ND | | Article 20 | ND | ND | ND | ND | ND | ND | ND | | Article 21 | ND | ND | ND | ND | ND | ND | ND | | Article 22 | ND | ND | ND | ND | ND | ND | ND | | Article 23 | ND | ND | ND | ND | ND | ND | ND | | Article 24 | ND | ND | ND | ND | ND | ND | ND | | Article 25 | ND | ND | ND | ND | ND | ND | ND | | Article 26 | ND | ND | ND | ND | ND | ND | ND | | Article 27 | ND | ND | ND | ND | ND | ND | ND | | Article 28 | ND | ND | ND | ND | ND | ND | ND | | Article 29 | ND | ND | ND | ND | ND | ND | ND | | Article 30 | ND | ND | ND | ND | ND | ND | ND | | 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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