GE

lechmazur/generalization

Thematic Generalization Benchmark: measures how effectively various LLMs can infer a narrow or specific "theme" (category/rule) from a small set of examples and anti-examples, then detect which item truly fits that theme among a collection of misleading candidates.

64 2 +0/wk
GitHub New Signal
benchmark evaluation generalization gpt-4-5 llm llms llms-benchmarking sonnet3-7
Trend 0

Trend chart will populate as more hourly snapshots are collected.

Currently 1 snapshot(s) — need at least 2 for a chart.

Multi-Source Signals

Growth Velocity

lechmazur/generalization has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric generalization clinicaltrialsgov-mcp-server boxxy splunk-mltk-container-docker
Stars 64 646464
Forks 2 21136
Weekly Growth +0 +0+0+0
Language N/A TypeScriptRustJupyter Notebook
Sources 1 111
License N/A Apache-2.0N/AApache-2.0

Capability Radar vs clinicaltrialsgov-mcp-server

generalization
clinicaltrialsgov-mcp-server
Maintenance Activity 100

Last code push 0 days ago.

Community Engagement 64

Fork-to-star ratio: 3.1%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.