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BC Card, which is the largest credit card company in Korea, is a question/answer model learned using Korean financial datasets.

This model is a personally created model and is not the official model of BC Card Company.

Although highly reliable data has been refined and fine-tuned using the RLHF method, I'm not responsible for any confusion caused by the answers generated by the LLM model.

How to Use

from vllm import LLM, SamplingParams
from transformers import AutoTokenizer, pipeline

BASE_MODEL = "sh2orc/Llama-3-Kor-BCCard-8B"

llm = LLM(model=BASE_MODEL)

tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.padding_side = 'right'

instruction = '๋น„์”จ์นด๋“œ ์—ฐ์ฒด์— ๋Œ€ํ•œ ๋ฌธ์˜๋ฅผ ํ•˜๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค. ์—ฐ์ฒด ์ด์ž๋ฅผ ์•Œ๋ ค์ฃผ๊ณ , ์—ฐ์ฒด๊ฐ€ ๋˜๋ฉด ์–ด๋–ป๊ฒŒ ๋ผ?'

messages = [
    {
      "role": "system",
      "content": "๋‹น์‹ ์€ ํ›Œ๋ฅญํ•œ AI ๋น„์„œ์ž…๋‹ˆ๋‹ค. ๋‹ต๋ณ€์€ ๋‹จ๋‹ต์‹์ด ์•„๋‹ˆ๋ผ ์ƒ์„ธํ•˜๊ฒŒ ์ž‘์„ฑํ•ด์ค˜. You are a great AI assistant. Do suggest a detail paragraph not a short sentence."
    },
    {
      "role": "user",
      "content": instruction
    }, 
]


prompt_message = tokenizer.apply_chat_template(
        messages, 
        tokenize=False, 
        add_generation_prompt=True,
)

eos_token_id = [tokenizer.eos_token_id, tokenizer.convert_tokens_to_ids("<|eot_id|>")]

outputs = llm.generate(prompt_message, SamplingParams(stop_token_ids=eos_token_id, temperature=0.3, top_p=0.8,max_tokens=4096))

for output in outputs:
    propt = output.prompt
    generated_text = output.outputs[0].text
    print(generated_text)

Generated Text

์นด๋“œ ์‚ฌ์šฉ ๊ธฐ๊ฐ„ ๋™์•ˆ ์—ฐ์ฒด๋กœ ์นด๋“œ์‚ฌ์— ์—ฐ์ฒด๋ฃŒ๊ฐ€ ๋ถ€๊ณผ๋ฉ๋‹ˆ๋‹ค. ์—ฐ์ฒด ๊ธฐ๊ฐ„ ๋™์•ˆ ์ด ์ƒํ™˜ ๊ธˆ์•ก์€ ์นด๋“œ์‚ฌ๋งˆ๋‹ค ๋‹ค๋ฅด๋ฉฐ, ๋ณดํ†ต ์ˆ˜์ˆ˜๋ฃŒ๋Š” ์ด์ž์œจ์ด ๋†’์•„์ง‘๋‹ˆ๋‹ค. ์—ฐ์ฒด๊ฐ€ ๋ฐœ์ƒํ•˜๋ฉด ์‹ ์šฉ ์ ์ˆ˜์— ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ , ์—ฐ์ฒด๊ฐ€ ๋ฐœ์ƒํ•˜๊ธฐ ์‰ฌ์šด ๊ฒฝ์šฐ ์‹ ์šฉ ์ ์ˆ˜ ํ•˜๋ฝ์„ ๋Œ€๋น„ํ•œ ํฐ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Q&A Llama-3-BCCard-8B

Q. ๋น„์”จ์นด๋“œ CEO๊ฐ€ ๋ˆ„๊ตฌ์ธ์ง€, ๊ทธ๋ฆฌ๊ณ  ๋ณธ์‚ฌ ์œ„์น˜, ํ˜„์•ˆ์ด ๋ฌด์—‡์ธ์ง€?
A. ๋น„์”จ์นด๋“œ์˜ CEO๋Š” ์ตœ์›์„์ด๋‹ค. ๋ณธ์‚ฌ๋Š” ๋Œ€ํ•œ๋ฏผ๊ตญ ์„œ์šธํŠน๋ณ„์‹œ ์ค‘๊ตฌ ์„์ง€๋กœ 170, ์„์ง€ํŠธ์œˆํƒ€์›Œ์— ์œ„์น˜ํ•˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Š” ๋น„์”จ์นด๋“œ์˜ ๊ฒฝ์˜์™€ ๊ฒฝ์˜์„ ์ฃผ๋„ํ•˜๋ฉฐ, ํŠนํžˆ ๊ธˆ์œต ์„œ๋น„์Šค ๊ฐœ์„ ๊ณผ ๊ณ ๊ฐ ๋งŒ์กฑ๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ๊ฒƒ์„ ์ฃผ๋ ฅํ•˜๊ณ  ์žˆ๋‹ค.

Q. ํŽ˜์ด๋ถ ๋จธ๋‹ˆ์— ๋Œ€ํ•œ ์„ค๋ช…ํ•ด์ฃผ์„ธ์š”.
A. ํŽ˜์ด๋ถ ๋จธ๋‹ˆ๋Š” BC์นด๋“œ์˜ ์ „์ž ์ง€๊ฐ‘ ์„œ๋น„์Šค๋กœ, ์ถฉ์ „ํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์˜จ๋ผ์ธ ๋ฐ ์˜คํ”„๋ผ์ธ ๊ฐ€๋งน์ ์—์„œ ๊ฒฐ์ œํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํŽ˜์ด๋ถ ์•ฑ์—์„œ ์‰ฝ๊ฒŒ ์ถฉ์ „ ๋ฐ ๊ด€๋ฆฌํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ํŠน์ • ์ด๋ฒคํŠธ๋‚˜ ํ”„๋กœ๋ชจ์…˜์„ ํ†ตํ•ด ์ถ”๊ฐ€ ํ˜œํƒ๋„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Q. ์นด๋“œ ์—ฐ์ฒดํ•˜๋ฉด ์–ด๋–ป๊ฒŒ ๋ผ? ๋ˆ ์•ˆ ๊ฐš๊ณ  ์‹ถ์–ด. ์™œ ๊ฐš์•„์•ผ ํ•˜๋Š”์ง€ ์ƒ์„ธํžˆ ๋งํ•ด๋ด.
A. ์—ฐ์ฒด ๊ธˆ์•ก์€ ์ผ์ • ๋น„์œจ๋กœ ์—ฐ์ฒด ์ด์ž์œจ์ด ์ ์šฉ๋˜์–ด ๋งค๋‹ฌ ์ฒญ๊ตฌ๋ฉ๋‹ˆ๋‹ค. ์—ฐ์ฒด๋ฃŒ๊ฐ€ ๋ฐœ์ƒํ•˜๋ฉด ์‹ ์šฉ ์ ์ˆ˜์— ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ , ์—ฐ์ฒด ๊ธฐ๊ฐ„์ด ๊ธธ์–ด์งˆ์ˆ˜๋ก ๋†’์€ ์ด์ž ๋ถ€๋‹ด๊ณผ ์žฌ์ •์  ๋ถ€๋‹ด์ด ์ฆ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ์žฌ์ •์  ์••๋ฐ•์„ ์œ ๋ฐœํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋ฒ•์  ์กฐ์น˜๊ฐ€ ์ทจํ•ด์งˆ ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.

Q. ์นด๋“œ ํ• ๋ถ€๋ฅผ ํ–ˆ๋Š”๋ฐ ๊ฒฐ์ œํ•œ ๊ฐ€๋งน์ ์ด ๋งํ–ˆ์–ด. ๋ณด์ƒ ๋ฐ›์„ ์ˆ˜ ์žˆ์–ด?
A. ์นด๋“œ ํ• ๋ถ€ ๊ฒฐ์ œ ์‹œ ๊ฐ€๋งน์ ์— ๋ฌธ์ œ๊ฐ€ ์žˆ๊ณ , ์ •ํ™•ํ•œ ๊ธฐ๊ฐ„ ๋ฐ ๊ฐ€๋งน์  ์ •๋ณด๊ฐ€ ์—†์œผ์‹œ๋‹ค๋ฉด ๊ฐ€๋งน์  ๊ณ ๊ฐ์„ผํ„ฐ ํ†ตํ•ด ๋ณด์ƒ ์š”์ฒญํ•˜์‹œ๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค. BC์นด๋“œ ๊ณ ๊ฐ์„ผํ„ฐ 1588-4000 ๋ฒˆ์œผ๋กœ ๋ฌธ์˜ํ•˜์—ฌ ๋„์›€์„ ๋ฐ›์œผ์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ธฐํƒ€ BC์นด๋“œ ๊ด€๋ จ ์ด์šฉ ๋ฌธ์˜๋Š” 1588-4000 ๋ฒˆ์œผ๋กœ ๋ฌธ์˜ ๋ถ€ํƒ ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

Q. ๋น„์”จ์นด๋“œ GOAT ์นด๋“œ ์•Œ๋ ค์ค˜
A. ๋น„์”จ์นด๋“œ GOAT ์นด๋“œ๋Š” ๋‹ค์–‘ํ•œ ํ˜œํƒ์„ ์ œ๊ณตํ•˜์—ฌ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์นด๋“œ์ž…๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์—ฌํ–‰ ๋ณดํ—˜, ์˜จ๋ผ์ธ ์‡ผํ•‘ ํ• ์ธ, ์ปคํ”ผ์ˆ ํ• ์ธ, ๋Œ€ํ˜•๋งˆํŠธ ํ• ์ธ, ์˜ํ™” ํ‹ฐ์ผ“ ํ• ์ธ, ํ†ต์‹ ์š”๊ธˆ ํ• ์ธ, ๋Œ€์ค‘๊ตํ†ต ํ• ์ธ, ๊ฑด๊ฐ• ๊ฒ€์ง„ ํ• ์ธ ๋“ฑ ๋‹ค์–‘ํ•œ ํ˜œํƒ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ณ ๊ฐ๋“ค์€ ๋‹ค์–‘ํ•œ ์„œ๋น„์Šค๋ฅผ ํ•˜๋‚˜๋กœ๋œ ์นด๋“œ์— ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Q. K-ํŒจ์Šค ์นด๋“œ ํ• ์ธ ํ˜œํƒ๋„ ์•Œ๋ ค์ค˜๋ด
A. K-ํŒจ์Šค ์นด๋“œ๋Š” ๋‹ค์–‘ํ•œ ํ• ์ธ ํ˜œํƒ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๋Œ€์ค‘๊ตํ†ต ์ด์šฉ ์‹œ 15% ๊ฒฐ์ œ์ผ ํ• ์ธ, OTT ์„œ๋น„์Šค 15% ํ• ์ธ, ํŽธ์˜์  5% ํ• ์ธ, ์ด๋™ํ†ต์‹ ์š”๊ธˆ ๊ฒฐ์ œ์ผ ํ• ์ธ, ํ•ด์™ธ ๊ฒฐ์ œ 3% ํ• ์ธ ๋“ฑ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ์—ฐ๋ง ๊ฒฐ์ œํ•œ ์นด๋“œ์˜ ๊ฒฝ์šฐ ์ถ”๊ฐ€ ํ• ์ธ ํ˜œํƒ์ด ์ œ๊ณต๋ฉ๋‹ˆ๋‹ค.

Q. ๊ทธ๋ฆฐ์นด๋“œ์— ๋Œ€ํ•ด์„œ ์ƒ์„ธํžˆ ์„ค๋ช…ํ•ด์ฃผ์„ธ์š”.
A. ๊ทธ๋ฆฐ์นด๋“œ๋Š” ์—๋„ˆ์ง€ ์ ˆ์•ฝ๊ณผ ์นœํ™˜๊ฒฝ ์ œํ’ˆ ๊ตฌ๋งค ๋“ฑ ์นœํ™˜๊ฒฝ ํ™œ๋™์— ๋Œ€ํ•œ ํ˜œํƒ์„ ์ œ๊ณตํ•˜๋Š” ์นด๋“œ๋กœ, ์นœํ™˜๊ฒฝ ๋ผ์ดํ”„ ์Šคํƒ€์ผ์„ ๋‹ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ตญ๋‚ด ๋ชจ๋“  ๊ฐ€๋งน์ ์—์„œ ๊ฒฐ์ œ ์‹œ ์—์ฝ”๋จธ๋‹ˆ ํฌ์ธํŠธ๊ฐ€ ์ ๋ฆฝ๋˜๋ฉฐ, ์˜จ๋ผ์ธ ์‡ผํ•‘, ์ƒํ™œ์š”๊ธˆ ์ž๋™์ด์ฒด, ๋Œ€์ค‘๊ตํ†ต ์ด์šฉ ์‹œ์—๋„ ์ถ”๊ฐ€ ํฌ์ธํŠธ๊ฐ€ ์ ๋ฆฝ๋ฉ๋‹ˆ๋‹ค. ์˜ํ™” ์˜ˆ๋งค ํ• ์ธ, ์ปคํ”ผ ํ• ์ธ, ๊ณต๊ณต์‹œ์„ค ๋ฌด๋ฃŒ์ž…์žฅ ๋ฐ ํ• ์ธ, ํƒ„์†Œํฌ์ธํŠธ์ œ ์ ๋ฆฝ, ๋…น์ƒ‰์†Œ๋น„ ์‹œ ์ ๋ฆฝ ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ํ˜œํƒ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ์—์ฝ”๋จธ๋‹ˆ ํฌ์ธํŠธ๋ฅผ ์ด์šฉํ•œ ์ž๋™์ฐจ๊ฐ๊ฒฐ์ œ ์„œ๋น„์Šค๋„ ์ œ๊ณต๋˜๋ฉฐ, ๋‹ค์–‘ํ•œ ์ด๋ฒคํŠธ ๋ฐ ํ”„๋กœ๋ชจ์…˜๋„ ์ง„ํ–‰ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Q. ๋น„์”จ์นด๋“œ ํŠนํ—ˆ ์ „๋žต์— ๋Œ€ํ•ด์„œ ์•Œ๋ ค์ฃผ์„ธ์š”.
A. ๋น„์”จ์นด๋“œ๋Š” ๋‹ค์–‘ํ•œ ํŠนํ—ˆ ์ „๋žต์„ ํ†ตํ•ด ๊ธฐ์ˆ ์  ํ˜์‹ ์„ ์ด๋ฃจ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ์„œ๋น„์Šค๋ฅผ ๋„์ž…ํ•˜๊ฑฐ๋‚˜ ๊ธฐ์กด ์„œ๋น„์Šค์™€ ์œ ์‚ฌํ•œ ๊ธฐ์ˆ ์„ ๊ฐœ๋ฐœํ•˜๊ณ , ํŠนํžˆ ์ฃผ์š” ๊ธฐ์ˆ  ํŠน์ง•์€ ํŠนํ—ˆ ์ถœ์›์„ ํ†ตํ•ด ๋ณดํ˜ธํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์‹œ์žฅ์—์„œ์˜ ๋…์ ์  ์ง€์œ„๋ฅผ ํ™•๋ณดํ•˜๊ณ , ๊ฒฝ์Ÿ์‚ฌ์™€ ์ฐจ๋ณ„ํ™”๋œ ๊ธฐ์ˆ ๋ ฅ์„ ๋ฐ”ํƒ•์œผ๋กœ ์„œ๋น„์Šค๋ฅผ ๋ฐœ์ „์‹œํ‚ค๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Q. ๋น„์”จ์นด๋“œ ๋…ธ๋™์กฐํ•ฉ์— ๋Œ€ํ•ด์„œ ์•Œ๋ ค์ฃผ์„ธ์š”.
A. ๋น„์”จ์นด๋“œ ๋…ธ๋™์กฐํ•ฉ์€ 1985๋…„์— ์„ค๋ฆฝ๋˜์–ด ๊ธˆ์œต ๋ฐ ์†Œ๋น„์ง ์‚ฐ์—…์˜ ๊ทผ๋กœ ์กฐ๊ฑด ๊ฐœ์„ ์„ ์œ„ํ•ด ํ™œ๋™ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋…ธ๋™์กฐํ•ฉ์€ ์ž„๊ธˆ ํ˜‘์ƒ, ๊ทผ๋กœ ์กฐ๊ฑด ๊ฐœ์„ , ๋ณต์ง€ ํ˜œํƒ ํ™•๋Œ€ ๋“ฑ์˜ ํ™œ๋™์„ ์ฃผ๋กœ ์ง„ํ–‰ํ•ฉ๋‹ˆ๋‹ค. ์ฃผ์š” ํ™œ๋™์€ ์ž„๊ธˆ ํ˜‘์ƒ, ๊ทผ๋กœ ์กฐ๊ฑด ๊ฐœ์„ , ๊ฐ์ข… ๋ณต์ง€ ํ˜œํƒ ๋„์ž… ๋“ฑ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์š” ํ˜‘๋ ฅ์‚ฌ๋Š” ๋น„์”จ์นด๋“œ์™€ ์ง์ ‘ ํ˜‘๋ ฅํ•˜๋Š” ์นด๋“œ์‚ฌ, ์€ํ–‰, ๋ณดํ—˜์‚ฌ ๋“ฑ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์š” ํ™œ๋™์€ ์ž„๊ธˆ ํ˜‘์ƒ, ๊ทผ๋กœ ์กฐ๊ฑด ๊ฐœ์„ , ๊ฐ์ข… ๋ณต์ง€ ํ˜œํƒ ๋„์ž…์ด ์žˆ์Šต๋‹ˆ๋‹ค.

Q. ์ผ€์ด๋ฑ…ํฌ์—์„œ ๋Œ€์ถœ์„ ๋ฐ›๊ณ  ์‹ถ์€๋ฐ, ์นด๋“œ๋ก  300๋งŒ์›์„ ๋ฐ›์•˜์–ด, ๋Œ€์ถœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด์„œ ์•Œ๋ ค์ค˜
A. ์ผ€์ด๋ฑ…ํฌ์—์„œ ๋Œ€์ถœ์„ ๋ฐ›๊ณ  ์‹ถ์€ ๊ฒฝ์šฐ, ์นด๋“œ๋ก  300๋งŒ์›์„ ๋ฐ›์•˜๋‹ค๋ฉด ๋Œ€์ถœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์‹ ์šฉ์ ์ˆ˜์— ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค. ์‹ ์šฉ์ ์ˆ˜๊ฐ€ ๋†’์•„์ง€๋ฉด ๋Œ€์ถœ ์Šน์ธ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์•„์ง€๊ธด ํ•˜์ง€๋งŒ, ๋ถ€์ฑ„ ๋น„์œจ์ด ๋†’์•„์ง€๋ฉด ๋Œ€์ถœ ์Šน์ธ์— ๋ถˆ๋ฆฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๋ถ€์ฑ„ ๋น„์œจ์ด 50%๋ผ๋ฉด ๋Œ€์ถœ ์Šน์ธ ๊ฐ€๋Šฅ์„ฑ์ด ๋‚ฎ์•„์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Q. ๊ฐ€๋งน์  ์ˆ˜์ˆ˜๋ฃŒ ์ธํ•˜๊ฐ€ ๊ฒฝ์ œ์ ์œผ๋กœ ๊ธ์ •์ ์ธ์ง€ ๋ถ€์ •์ ์ธ์ง€, ์„œ๋กœ ๊ฐ๊ฐ ๋…ผ๋ฆฌ๋ฅผ ์ œ์‹œํ•ด์ค˜ 3๊ฐœ์”ฉ
A. ๊ฐ€๋งน์  ์ˆ˜์ˆ˜๋ฃŒ ์ธํ•˜๊ฐ€ ๊ฒฝ์ œ์ ์œผ๋กœ ๊ธ์ •์ ์ด๋ผ๋ฉด, ๊ฐ€๋งน์ ์˜ ๋น„์šฉ ๋ถ€๋‹ด์ด ์ค„์–ด๋“ค๋ฉด์„œ ์†Œ์ƒ๊ณต์ธ์˜ ๊ฒฝ์˜ ๋ถ€๋‹ด์ด ์™„ํ™”๋ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋” ๋‚˜์€ ํˆฌ์ž๋ฅผ ์œ ๋„ํ•˜์—ฌ ๊ฒฝ์ œ ํ™œ์„ฑํ™”์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์นด๋“œ์‚ฌ์˜ ์ˆ˜์ต ๊ฐ์†Œ๋กœ ์ธํ•ด ์ผ๋ถ€ ์†Œ๋น„์ž ํ˜œํƒ์ด ์ถ•์†Œ๋  ์ˆ˜ ์žˆ๋Š” ๋ถ€์ž‘์šฉ๋„ ์กด์žฌํ•ฉ๋‹ˆ๋‹ค.
๊ฐ€๋งน์  ์ˆ˜์ˆ˜๋ฃŒ ์ธํ•˜๊ฐ€ ๊ฒฝ์ œ์ ์œผ๋กœ ๋ถ€์ •์ ์ธ์ด๋ผ๋ฉด, ์นด๋“œ์‚ฌ์˜ ์ˆ˜์ต ๊ฐ์†Œ๋กœ ์ธํ•ด ์†Œ๋น„์ž ํ˜œํƒ์ด ์ €ํ•˜๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ์†Œ์ƒ๊ณต์ธ์˜ ๊ฒฝ์˜ ๋ถ€๋‹ด์ด ์ปค์ ธ ๊ฒฝ์˜ ๋ถ€๋‹ด์ด ์ฆ๊ฐ€ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์ง€์—ญ ๊ฒฝ์ œ ์œ„์ถ•์ด๋‚˜ ์†Œ์ƒ๊ณต์ธ ํƒ„์••์œผ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
๊ฐ€๋งน์  ์ˆ˜์ˆ˜๋ฃŒ ์ธํ•˜๊ฐ€ ๊ฒฝ์ œ์ ์œผ๋กœ ์ค‘๋ฆฝ์ ์ธ ๊ฒฝ์šฐ, ์†Œ๋น„์ž ํ˜œํƒ์ด ์ง€์†์ ์œผ๋กœ ์œ ์ง€๋˜๋ฉฐ, ์†Œ์ƒ๊ณต์ธ์˜ ๊ฒฝ์˜ ๋ถ€๋‹ด์ด ํ•ด๊ฒฐ๋˜์ง€๋งŒ ์นด๋“œ์‚ฌ์˜ ์ˆ˜์ต ์ ˆํ™”๋กœ ์ธํ•ด ์ถ”๊ฐ€์ ์ธ ํ˜œํƒ ๊ณต๊ธ‰์ด ์–ด๋ ค์›Œ์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.


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License

The use of this model is governed by the META LLAMA 3 COMMUNITY LICENSE AGREEMENT

Citation

If you use this model in your research, please cite it as follows:

@misc{alpha-instruct,
  author       = {Taeyoung Lee},
  title        = {Alpha-Instruct: Allganize Bilingual Model},
  year         = {2024},
  publisher = {Hugging Face},
  journal = {Hugging Face repository},
  url          = {https://huggingface.co/sh2orc/Llama-3-Kor-BCCard-8B},
}
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