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leo-gan 5420a0e404 updated langchain/docs/modules/models/llms/integrations/ notebooks (#3041 )

- Updated `langchain/docs/modules/models/llms/integrations/` notebooks:
added links to the original sites, the install information, etc.
- Added the `nlpcloud` notebook.
- Removed "Example" from Titles of some notebooks, so all notebook
titles are consistent.

2023-04-17 20:25:32 -07:00

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Anthropic

Anthropic is creator of the Claude LLM.

This example goes over how to use LangChain to interact with Anthropic models.

In [ ]:

# Install the package
!pip install anthropic

In [ ]:

# get a new token: https://www.anthropic.com/earlyaccess

from getpass import getpass

ANTHROPIC_API_KEY = getpass()

In [1]:

from langchain.llms import Anthropic
from langchain import PromptTemplate, LLMChain

In [2]:

template = """Question: {question}

Answer: Let's think step by step."""

prompt = PromptTemplate(template=template, input_variables=["question"])

In [ ]:

llm = Anthropic(, anthropic_api_key=ANTHROPIC_API_KEY)

In [4]:

llm_chain = LLMChain(prompt=prompt, llm=llm)

In [5]:

question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"

llm_chain.run(question)

Out [5]:

" Step 1: Justin Beiber was born on March 1, 1994\nStep 2: The NFL season ends with the Super Bowl in January/February\nStep 3: Therefore, the Super Bowl that occurred closest to Justin Beiber's birth would be Super Bowl XXIX in 1995\nStep 4: The San Francisco 49ers won Super Bowl XXIX in 1995\n\nTherefore, the answer is the San Francisco 49ers won the Super Bowl in the year Justin Beiber was born."

In [ ]:

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Anthropic

3.2 KiB

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