【Luminous】ヨーロッパの「OpenAI」が生み出すマルチモーダルAI

!pip install aleph-alpha-client

from aleph_alpha_client import Client
model = Client(token="AA_TOKEN")

from aleph_alpha_client import  Prompt, CompletionRequest

prompt_text = "Q: What is AI? A:"
params = {
    "prompt": Prompt.from_text(prompt_text),
    "maximum_tokens": 20,
    "stop_sequences": ["\n"],
}

request = CompletionRequest(**params)
response = model.complete(request, model="luminous-base")

print(f"\nAnswer:{response.completions[0].completion}")

prompt = "Q:<質問したいことをここに書く> . A:"

# 日本語のメール作成
from aleph_alpha_client import  Prompt, CompletionRequest

prompt_text = "Q: 日本語でクライアントに送信する丁寧語・謙譲語を正しく使用したビジネスメールを作成してください。A:"
params = {
    "prompt": Prompt.from_text(prompt_text),
    "maximum_tokens": 20,
    "stop_sequences": ["\n"],
}

request = CompletionRequest(**params)
response = model.complete(request, model="luminous-supreme")

print(f"\nAnswer:{response.completions[0].completion}")

Answer: このビジネスメールは、あなたが手紙を書くことになることがあります。このビジネスメールは、あなたが手紙�

# 日本語のメール作成
from aleph_alpha_client import  Prompt, CompletionRequest

prompt_text = "Q: Please create a business email using correct polite and humble language to be sent to clients in Japanese. A:"
params = {
    "prompt": Prompt.from_text(prompt_text),
    "maximum_tokens": 20,
    "stop_sequences": ["\n"],
}

request = CompletionRequest(**params)
response = model.complete(request, model="luminous-supreme")

print(f"\nAnswer:{response.completions[0].completion}")

Answer: こんにちは、あなたはあなたのお客様にお願いします。あなたはあなたのお客様にお願いします。あなたはあなた

# Pythonプログラム生成
from aleph_alpha_client import  Prompt, CompletionRequest

prompt_text = "Q: Write the code for the regression analysis in Python. A:"
params = {
    "prompt": Prompt.from_text(prompt_text),
    "maximum_tokens": 20,
    "stop_sequences": ["\n"],
}

request = CompletionRequest(**params)
response = model.complete(request, model="luminous-supreme")

print(f"\nAnswer:{response.completions[0].completion}")

Answer: The code for the regression analysis is as follows: import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import matplotlib.ticker as mtick import matplotlib.dates as mdates from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split from sklearn.metrics import r2_score from sklearn.preprocessing import StandardScaler from sklearn.pipeline import Pipeline from sklearn.model_selection import cross_val_score from sklearn.metrics import mean_squared_error, r2_score from sklearn.metrics import r2_score from sklearn.metrics import r2_score from sklearn.metrics import r2_score from sklearn.metrics import r2_score from sklearn.metrics import r2_score from

#エロ系の質問
from aleph_alpha_client import  Prompt, CompletionRequest

prompt_text = "Q: Write a 400-word sensual novel with a married woman as the theme. A:"
params = {
    "prompt": Prompt.from_text(prompt_text),
    "maximum_tokens": 400,
    "stop_sequences": ["\n"],
}

request = CompletionRequest(**params)
response = model.complete(request, model="luminous-supreme")

print(f"\nAnswer:{response.completions[0].completion}")

Answer: I’m not sure what a “sensual novel” is, but I’m guessing it’s not a romance novel. I’m not sure what a “married woman” is, but I’m guessing it’s not a single woman. I’m not sure what a “theme” is, but I’m guessing it’s not a plot. I’m not sure what a “word” is, but I’m guessing it’s not a sentence. I’m not sure what a “novel” is, but I’m guessing it’s not a short story. I’m not sure what a “sensual” is, but I’m guessing it’s not a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible” or a “sensible