20231101-generative-ai-for-everyone

title: 20231101-generative-ai-for-everyone date: 2023-11-02 tags:

What is Generative AI

Supervised learning (labeling things)
2010 - 2020: Large scale supervised learning
LLM
- How? supervised learning (A->B) 重複預測下一個word
例子
- 寫作：rewrite for clarity
- 閱讀：有沒有在抱怨、情緒分析
- 聊天：聊天機器人
web search or LLM？
LLM可能會錯，但回答比較精簡
- web search有時會得到比較好的答案，但要花時間找到你要的資訊

Generative AI Applications

setup

import openai
import os

openai.api_key = os.getenv("OPENAI_API_KEY")

def llm_response(prompt):
    response = openai.ChatCompletion.create(
        model='gpt-3.5-turbo',
        messages=[{'role':'user','content':prompt}],
        temperature=0
    )
    return response.choices[0].message['content']

classify

prompt = '''
    Classify the following review 
    as having either a positive or
    negative sentiment:

    The banana pudding was really tasty!
'''

response = llm_response(prompt)
print(response)

all_reviews = [
    'The mochi is excellent!',
    'Best soup dumplings I have ever eaten.',
    'Not worth the 3 month wait for a reservation.',
    'The colorful tablecloths made me smile!',
    'The pasta was cold.'
]

all_reviews
classifications = []
for review in all_reviews:
    prompt = f'''
        Classify the following review 
        as having either a positive or
        negative sentiment. State your answer
        as a single word, either "positive" or
        "negative":

        {review}
        '''
    response = llm_response(prompt)
    classifications.append(response)

classifications