The best decision models, according to hackers
6 decision models recommended in Hacker News comments over the past year, ranked by how many separate people recommend each one.
All decision models
- Jev by Typesafe AIA cheap, low-latency general classifier you redefine with a prompt instead of retraining, though critics call it overhyped and little more than standard LLM tech.392recommend
- LayaOpen-weight, self-hostable decision model that people run locally and fine-tune for specific classification tasks, with fast responses. Common caveat: weak out-of-box accuracy and a 1024-token context limit.44recommend
- Cloudflare ClefOpen-weight decision model people like for its open-source license, self-hosting and image input; critics say it is slower, costlier and less accurate than Jev.21recommend
- OpenJevFast, cheap structured-output model that cannot emit tokens outside a given set. Critics doubt it differs from other small LLMs, and the naming is confusing.21recommend
- Typesafe AIPeople recommend it as a cheap API model that handles new classification problems without fine-tuning. Critics say it is over-hyped and not production-ready without fine-tuning.16recommend
- Strands Decider 2BA small open-source decision model that people run locally for filtering and automations. Critics note a bias toward the first option listed.7recommend