Ingredient Selection Agent (SafeTensor)

๋ชจ๋ธ ์„ค๋ช…

๊ฑด๊ฐ• ์ƒํƒœ ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ตœ์ ์˜ ์‹์žฌ๋ฃŒ๋ฅผ ์ถ”์ฒœํ•˜๋Š” ์˜์–‘ ์ „๋ฌธ AI

์ฃผ์š” ๊ธฐ๋Šฅ: ๊ฑด๊ฐ•์ƒํƒœ ๋ถ„์„ โ†’ ์‹์žฌ๋ฃŒ ์ถ”์ฒœ

๊ธฐ์ˆ  ์„ธ๋ถ€์‚ฌํ•ญ

  • Base Model: MLP-KTLim/llama-3-Korean-Bllossom-8B
  • Fine-tuning Method: LoRA (Low-Rank Adaptation)
  • Quantization: 8-bit during training
  • Format: SafeTensor
  • Language: Korean (ํ•œ๊ตญ์–ด)

์‚ฌ์šฉ ๋ฐฉ๋ฒ•

SafeTensor ๋ฒ„์ „

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("carefood/agent2-health-analysis-8b")
model = AutoModelForCausalLM.from_pretrained("carefood/agent2-health-analysis-8b")

# ์‚ฌ์šฉ ์˜ˆ์‹œ
prompt = "์„ค๋ฌธ์กฐ์‚ฌ ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•ด์ฃผ์„ธ์š”..."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=512)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)

ํ›ˆ๋ จ ๋ฐ์ดํ„ฐ

  • ํ•œ๊ตญ์ธ ๊ฑด๊ฐ• ์„ค๋ฌธ์กฐ์‚ฌ ๋ฐ์ดํ„ฐ
  • ์งˆ๋ณ‘๋ณ„ ์˜์–‘ ์ •๋ณด
  • ์‹์žฌ๋ฃŒ ์ถ”์ฒœ ๋ฐ์ดํ„ฐ

์ œํ•œ์‚ฌํ•ญ

  • ์˜๋ฃŒ์ง„์˜ ์ „๋ฌธ์  ์ง„๋‹จ์„ ๋Œ€์ฒดํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค
  • ์ฐธ๊ณ ์šฉ ์ •๋ณด๋กœ๋งŒ ํ™œ์šฉํ•ด์ฃผ์„ธ์š”
  • ์‹ฌ๊ฐํ•œ ๊ฑด๊ฐ• ๋ฌธ์ œ๋Š” ๋ฐ˜๋“œ์‹œ ์˜๋ฃŒ์ง„๊ณผ ์ƒ๋‹ดํ•˜์„ธ์š”

๊ฐœ๋ฐœ์ž


์ด ๋ชจ๋ธ์€ ๊ฑด๊ฐ• ๊ด€๋ฆฌ ๋ณด์กฐ ๋ชฉ์ ์œผ๋กœ๋งŒ ์‚ฌ์šฉํ•ด์ฃผ์„ธ์š”.

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