bev-train
Training Jev-like decision models using Qwen3 with choice-order invariance
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GITHUB · launched Sep 27, 2026 · 39 upvotes (top 22%) · 0 views
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 303 launches in machine learning developer tools →
Could you build this?
No Research and training of behavioral decision models with choice-order invariance using custom fine-tuning loss functions demands deep ML research background.
What it would actually take: The project requires PyTorch, Hugging Face Transformers, and PEFT/LoRA setups to fine-tune Qwen models using specialized loss formulations that penalize permutation sensitivity across decision options. The difficult part is formulating mathematically sound loss constraints, designing unbiased synthetic permutation datasets, and evaluating behavioral game-theoretic outcomes. This requires an academic or industrial machine learning research scientist.
Competitors
Other products that read as similar to this one : 1436 launches clear the similarity bar, closest 8 shown.
Attention rank: #342 of 1437 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 331 days after the earliest competitor.
- tev1 · github · 2026-09-23 · 154 upvotes · similarity 0.80
- Qev · github · 2026-09-29 · 11 upvotes · similarity 0.79
- autojev · github · 2026-09-19 · 28 upvotes · similarity 0.74
- jeeves · github · 2026-09-29 · 401 upvotes · similarity 0.70
- vev · github · 2026-09-30 · 11 upvotes · similarity 0.69
- jev-forge · github · 2026-09-19 · 24 upvotes · similarity 0.68
- LLM2Jev · github · 2026-09-19 · 248 upvotes · similarity 0.67
- vllm-jev · github · 2026-09-24 · 72 upvotes · similarity 0.67
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