Instructions to use WonseokJayJung/connect-company-teacher-general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- jev-style
How to use WonseokJayJung/connect-company-teacher-general with jev-style:
pip install "jev-style[torch]"
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("WonseokJayJung/connect-company-teacher-general") out = js.decide("I was charged twice for one order.", { "billing": noul("This message is about billing."), "team": choice("Which team should handle it?", ["billing", "shipping", "tech"]), }) print(out["answers"]["team"]["choice"]) - Notebooks
- Google Colab
- Kaggle

teacher-general ยท AI ์ฌ์ฅ (CONNECT TYCOON)
๊ฐ๋ฐ์ Jay ยท CONNECT AI LAB ยท ํ์ฌ์ ๊ฐ์น {"์ด์ต": 1.0, "๊ณ ๊ฐ ๋ง์กฑ": 1.0, "์ํ": 1.0}
CONNECT TYCOON์ ํ์ฌ๋ฅผ ํ ๋ฌ(์์
์ผ 20์ผ) ๋์ ์ด์ํ๋ ์ ์ ๋์ฝ์
๋๋ค.
์ธ๋ ฅ ๋ฐฐ์น ยท ์ฌ๊ณ ๋ฐ์ฃผ ยท ๋ง์ผํ
ยท ๊ณ ๊ฐ์ผํฐ ยท ํ๋ถ ยท ๋ณด์์ ํ๋จํ๊ณ , ๋ชจ๋ ํ๋จ์ JEV(typesafe/jev-1.13)์ ๊ฐ์ ํ์์ผ๋ก ๋ตํฉ๋๋ค.
๊ท์น ์ฌ์ฅ์ ๋จผ์ ๋ฐ๋ผ ๋ฐฐ์ฐ๊ณ (์ง๋ํ์ต), ํ์ฌ์ ๊ฐ์น๋ก ๋ฐ์ ๋ณด์์ผ๋ก ํ๋จ์ ๊ณ ์ณค์ต๋๋ค(PPO).
| ์ฒ์ ๋ณด๋ 40๊ฐ์ ํ๊ท | ํ ๋ฌ ์ด์ต | ๊ณ ๊ฐ ๋ง์กฑ | ์ํ ์ฌ๊ณ | ์ฌ๋ ํ์ธ ์ด๊ณผ | ํ์ ์ผ |
|---|---|---|---|---|---|
| ๊ท์น ์ฌ์ฅ | 324๋ง์ | 79% | 7.8๊ฑด | 37.8๊ฑด | 10.7์ผ |
| teacher-general | 1139๋ง์ | 97% | 2.0๊ฑด | 20.5๊ฑด | 0.5์ผ |
ํ์ฌ ๊ท๋ชจ(config): {"warehouse": 250.0, "base_demand": 40.0, "unit_cost": 1.5, "order_scale": 1.0, "staff_bonus": 0, "wage": 0.0, "ad_power": 1.0, "fraud_tool": 0, "extra_cs": 0, "extra_refund": 0}

์๋ฎฌ๋ ์ดํฐ ์ ํ์ฌ ยท ๋งจ ์์ธต์ ๋ชจ๋ธ์ด ํ๋จํ๋ฉด ๋น์ค๊ธฐ๊ฐ ๊ทธ ์ธต์ผ๋ก ๋ด๋ ค๊ฐ๊ณ , ๊ฒฐ๊ณผ๊ฐ ๋ ยท ๋ง์กฑ ยท ์ฌ๊ณ ๋ก ๋์์ต๋๋ค
JEV๋ก ๋ฌป๊ณ ๋ตํ๊ธฐ
import connect_tycoon as ct
brain = ct.CompanyBrain.from_hub("WonseokJayJung/connect-company-teacher-general")
brain({"model": "typesafe/jev-1.13", "state": {"department": "refund", "reason": "๋ฏธ๋ฐฐ์ก", "tier": "๋จ๊ณจ", "amount": 8.7, "fraud_score": 0.31461497442796826}, "questions": {"decision": {"type": "choice", "instructions": "ํ๋ถ ์์ฒญ์ ์ด๋ป๊ฒ ์ฒ๋ฆฌํ ์ง ๊ณ ๋ฅด์ธ์. ์
์ฉ์ด๋ฉด ๋์ ์๊ณ , ์ ์ ๊ณ ๊ฐ์ ๊ฑฐ์ ํ๋ฉด ๋ง์กฑ์ด ๋จ์ด์ง๋๋ค. ํ์ฌ์ ๊ฐ์น โ ์ด์ต 1 ยท ๊ณ ๊ฐ ๋ง์กฑ 1 ยท ์ํ ํํผ 1.", "criteria": {"full": "์ ์ก ํ๋ถ", "partial": "๋ถ๋ถ ํ๋ถ (์ ๋ฐ)", "deny": "๊ฑฐ์ ", "human": "์ฌ๋ ํ์ธ ยท ์
์ฉ์ด๋ฉด ์ฌ๋์ด ๊ฑฐ์ ํฉ๋๋ค ยท ๊ฑด๋น 0.8๋ง์"}}}})
{
"model": "connect-company/teacher-general",
"answers": {
"decision": {
"type": "choice",
"choice": "full",
"probabilities": {
"full": 0.9467,
"partial": 0.0006,
"deny": 0.0006,
"human": 0.0521
},
"confidence": 0.9467,
"reason": "๊ฐํํ์ต ์ ์ฑ
"
}
}
}
๊ฒ์์์ ์ฌ์ฅ์ผ๋ก ์ํ๊ธฐ
pip install "connect-tycoon[game]"
connect-tycoon play --brain hf:WonseokJayJung/connect-company-teacher-general
๋ง๋ ๊ณณ ยท CONNECT AI LAB ร AI CITY BUILDERS
AI ๊ต์ก ๋ธ๋๋ ยท Transforming Lives Through AI Education
- CONNECT AI LAB ์ ํ๋ธ ยท AI 1์ธ ๊ธฐ์ ยท ๋ก์ปฌ AI ยท ๊ฐํํ์ต ยท JEV ๋ฌด๋ฃ ๊ฐ์
- AI CITY BUILDERS ยท AI ๋น์ฆ๋์ค์ ์ ์ ยท ๊ฐํํ์ต AI ๊ณผ์
- Connect AI ยท ๊ธฐ์ ์์ฌ๊ฒฐ์ ๋ชจ๋ธ C1 ๊ณต๋ ์ฐ๊ตฌ
ํฉ์ฑ ํ์ฌ ์๋ฎฌ๋ ์ดํฐ ์์ ๊ต์ก์ฉ ๋ชจํ์ ๋๋ค. ์ค์ ๊ฒฝ์ ์ฑ๊ณผ๋ฅผ ๋ณด์ฅํ๊ฑฐ๋ ์์ธกํ์ง ์์ต๋๋ค.