设计多步 AI 工作流

Snowflake 生成式 AI 入门

James Cha-Earley

Senior Developer Advocate, Snowflake

Cortex 点评工作流

目标：构建国际访客反馈的自动化系统

将每条点评翻译成英语
概括关键信息
分类并路由到对应团队
生成回复
翻译回原始语言

工作流：接收点评、翻译、摘要与分类，并发送回复

提取点评

-- SQL cell
SELECT DESCRIPTION
FROM HOTELS.REVIEWS
WHERE LANGUAGE = 'es'
LIMIT 1;

# Python cell
df = dataframe_1.to_pandas()
review_text = df["DESCRIPTION"].iloc[0]

西班牙语点评

print(review_text)

Buen hotel y bien situado pero desafortunadamente no me toco buena suerte con 
el servicio; el aire no servía; pedí la cama extra tres veces; la cafetera estaba
dañada; y me sacaron las maletas fuera porque argumentaron que no hice Check out;
siendo que era un día despues; pero su sistema lo marco antes; una total
descortesía hecharme del cuarto y cancelar mis llaves; regresar de caminar y darse
cuenta que han tomado tus cosas fuera es increíble y mas aun sin ninguna disculpa;
yo no volvería ahí aunque la vrd el hotel es bueno y su jubilación el trato
me decepciono

翻译

translated = translate(
    text=review_text,
    from_language="es",
    to_language="en"
)

print(translated)

Good hotel and well located, but unfortunately, I didn't have good luck with the service; the air
conditioning didn't work; I asked for the extra bed three times; the coffee maker was broken; 
and they took my bags out because they argued that I hadn't checked out; even though it was a day
later; but their system marked it as checked out; a total discourtesy to throw me out of the room
and cancel my keys; returning from a walk and realizing they've taken your things out is
incredible and even more so without any apology; I wouldn't go back there even though the hotel
itself is good and their retirement the treatment disappoints me.

摘要

summary = summarize(text=translated)

print(summary)

The hotel was well-located, but the service was disappointing. The air conditioning
didn't work, an extra bed was not provided despite multiple requests, and the coffee
maker was broken. The hotel staff took the complainant's bags and canceled their
keys despite a later checkout date, which was discourteous and left the complainant
feeling disappointed.

分类

topic = classify_text(
    text=summary,
    labels=["staff", "cleanliness", "pricing", "room", "food"]
)

print(topic)

{
  "label": "staff"
}

文本生成

response = complete(
        prompt=f"Write a brief and professional response to this review: {summary}",
        model='llama3.1-8b',
        options={'temperature':0.3, 'max_tokens':120})

print(response)

Thank you for sharing your feedback. While we're glad you found the location
convenient, we're truly sorry to hear about the service issues you experienced.
We understand how frustrating it must have been to face multiple inconveniences
during your stay. Your comments have been shared with the team to ensure these concerns
are addressed and do not recur.

回复翻译

translated_response = translate(
    text=response,
    from_language="en",
    to_language="es"
)

print(translated_response)

Gracias por compartir sus comentarios. Si bien nos alegra saber que encontró conveniente
la ubicación, lamentamos sinceramente los inconvenientes que experimentó con el servicio.
Entendemos lo frustrante que debió haber sido enfrentar múltiples inconvenientes durante
su estadía. Sus comentarios han sido compartidos con el equipo para asegurarnos de que
estas situaciones se aborden y no vuelvan a ocurrir.

Cortex 成本模型

Cortex 工作流：输入 tokens、计算与输出 tokens 均有相应成本

¹ Image generated by ChatGPT-4o

控制成本

精简输入，仅处理相关文本
限制输出长度
降低 temperature

# Limit cost of complete
complete(prompt=prompt, 
         model='llama3.1-8b', 
         options={
            'max_tokens':120,

            'temperature':0})

Cortex 最佳实践

高效串联模型

# Summarize first if calling multiple downstream functions
summarize()
text_classify()
complete()
translate()

日志
缓存
批处理流水线

让我们一起练习吧！

Snowflake 生成式 AI 入门