PHPMem v2.0.1

Version
1.6.45
Uptime
7 days 12 hours 25 minutes 5 seconds

Memory

Total
512MB
Used
13,33MB (2.6%)
Free
498,67MB

Keys

Current
10 164
Total (since start)
11 094
Evictions
0
Reclaimed
157
Expired Unfetched
0
Evicted Unfetched
0

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3 / 1 024 max
Total
67 863
Rejected
0
llm:3f585dcf22881b7c0e2c228bc3a8963eb2af7611026ddb3259ba5b102ae1053b
TTL 9 hours 45 minutes 44 seconds Size 1,32KB Export
Edit
{
    "action": "tool_call",
    "reasoning": "The evidence shows a single row of correlation coefficients between pairs of variables, but the column names are abbreviated (e.g., 'score_params_corr', 'params_compute_corr'). To provide a complete answer about the strongest correlations in the dataset, I need to: 1) identify what these abbreviated correlation pairs represent (likely correlations between measures like Parameters, Training compute, Cost, etc.), and 2) check if there are other correlation patterns in the dataset beyond this single row. Let me query the raw table to see the full correlation structure and identify the actual column pairs these coefficients represent.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT score_params_corr, score_compute_corr, score_cost_corr, score_dataset_corr, score_citations_corr, params_compute_corr, params_cost_corr, params_dataset_corr, compute_cost_corr, compute_dataset_corr, cost_dataset_corr, hardware_compute_corr, batch_compute_corr FROM raw.benchmarks WHERE score_params_corr IS NOT NULL LIMIT 10",
        "purpose": "Retrieve the correlation coefficient columns to understand their distribution and confirm these are consistent correlation values across rows",
        "source": "raw"
    }
}