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Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>

2023-06-16 11:52:56 -07:00

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Math chain

This notebook showcases using LLMs and Python REPLs to do complex word math problems.

In [4]:

from langchain import OpenAI, LLMMathChain

llm = OpenAI(temperature=0)
llm_math = LLMMathChain.from_llm(llm, verbose=True)

llm_math.run("What is 13 raised to the .3432 power?")

Out [4]:


[1m> Entering new LLMMathChain chain...[0m
What is 13 raised to the .3432 power?[32;1m[1;3m
```text
13 ** .3432
```
...numexpr.evaluate("13 ** .3432")...
[0m
Answer: [33;1m[1;3m2.4116004626599237[0m
[1m> Finished chain.[0m

'Answer: 2.4116004626599237'

In [ ]:

1.8 KiB Raw Blame History

Math chain

1.8 KiB

Raw Blame History