AI & ML interests

Intelligence with Everyone. For everyone. For Azerbaijan.

doofzย 
posted an update 4 days ago
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THX-01 now has a free API. No key, no sign-up.
Yesterday we open-sourced THX-01, our 322M decision model. Today we're opening the hosted API to everyone for free.

Send a message or document with typed questions and get every answer in one forward pass, about 10 ms, with a calibrated probability for each option:

curl https://api.hal-x.ai/v1/systemone \
-H "Content-Type: application/json" \
-d '{"state": "My card was charged twice for one order", "questions": {"team": {"type": "choice", "question": "Which team handles this?", "criteria": {"billing": "billing", "tech": "technical", "sales": "sales"}}}}'

What it answers: choice, yes/no, score, exact number from the text (or null if it isn't there), verbatim excerpt, and "cite": true for supporting passages.

- Free tier: 200 decisions per minute per IP
- On our 2,843-ticket benchmark in four languages: 98.4% vs 97.4% for TypeSafe Jev, at about 10 ms instead of 331 ms
- 18 trained languages
- Weights are Apache 2.0: pip install thx01

Model: doofz/THX-01
Demo: doofz/THX-01-demo
doofzย 
posted an update 5 days ago
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We just open-sourced THX-01, a 322M decision model.

Most AI decisions in production are classification in disguise: which team gets this ticket, is this email phishing, what's the total on this invoice. Calling a large LLM for each one is slow, expensive, and its confidence means nothing.

THX-01 is built for exactly these decisions. You send it a message or document plus typed questions, and in one forward pass (~10 ms) it returns:
- an answer to every question, with a calibrated probability for each option
- exact numbers stated in the document, or null if the number isn't there
- verbatim quotes and the passages that support each answer

On our 4-language support-ticket benchmark it matches Claude Sonnet 5.5 (98.4 vs 98.5) and is about 150x faster.
Because its confidence is calibrated, it handled about 75% of tickets automatically with zero errors.

pip install thx01
doofz/THX-01
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