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d3ec00b566 Callbacks Refactor [base] (#3256 )

Co-authored-by: Nuno Campos <nuno@boringbits.io>
Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com>
Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>

2023-04-30 11:14:09 -07:00

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LLM Math

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

LLM Math

1.8 KiB

Raw Blame History