π€Reddit r/MachineLearningβ’Stalecollected in 13h
LEVI Outperforms Evo Optimizers at 6x Lower Cost
π‘Open-source LEVI beats AlphaEvolve 6x cheaper β code out now!
β‘ 30-Second TL;DR
What Changed
Stratified allocation: cheap models for mutations, expensive for shifts
Why It Matters
Democratizes advanced optimization by reducing reliance on frontier models. Enables broader AI research with limited budgets.
What To Do Next
Clone github.com/ttanv/levi and benchmark on ADRS problems.
Who should care:Developers & AI Engineers
Key Points
- β’Stratified allocation: cheap models for mutations, expensive for shifts
- β’Fingerprint-based CVT-MAP-Elites for structural/performance diversity
- β’Tops ADRS benchmarks like Spot Multi-Reg (72.4) vs competitors
- β’Beats AlphaEvolve circle packing with Qwen 30B
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Original source: Reddit r/MachineLearning β
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