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Temperature=1 is same as not applying temperature I have put my open ai service behind azure api management gateway, so if the client has to access the open ai service they have to use the gateway url This temperature value is actually term for temperature scaling which is the process of dividing the logits by a value > 0 before applying softmax
This is how it is used in building llms: 'fieldinfo' object is not a mapping asked 1 year ago modified 10 months ago viewed 1k times With openai, the input and output are strings, while with chatopenai, the input is a sequence of messages and the output is a message
They use different api endpoints and the endpoint of openai has received its final update in july 2023.
Up until a few days ago i was able to run the line from langchain_openai import chatopenai in my google colab notebook but now i'm receiving the error message. Following langchain docs in my jupyter notebook with the following code From langchain_openai import chatopenai from langchain_core.prompts import chatprompttemplate from langchain_core.output_pa. I have a problem with an app on streamlit
On localhost it works perfectly, but on streamlit not The funny thing is that the application was working, but after the code update i suddenly started g. Random question did it change to llm.predict with the implementation of from langchain.chat_models import chatopenai I use to write from langchain import openai and llm (prompt) use to work just fine
Added the.predict and my issue was fixed tho, thanks
If i change the import to from langchain_community.chat_models import chatopenai, the code works fine, but i get a deprecation warning The class chatopenai was deprecated in langchain 0.0.10 and will be removed in 0.3.0 I need to understand how exactly does langchain convert information from code to llm prompt, because end of the day, the llm will need only text to be passed to it If i am incorrect somewhere in my
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