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Optimize summarizer prompt template and update llama model

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Mert Cobanov 2024-04-26 04:34:59 +03:00
parent bac64d51a4
commit 60a17e396f
1 changed files with 2 additions and 2 deletions
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summarizer.py
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@ -37,7 +37,7 @@ def setup_summarization_chain():
5.Conclude your notes with [End of Notes, Message #X] to indicate completion, where "X" represents the total number of messages that I have sent. In other words, include a message counter where you start with #1 and add 1 to the message counter every time I send a message.
By following this optimized prompt, you will generate an effective summary that encapsulates the essence of the given text in a clear, detailed, and reader-friendly manner.
By following this optimized prompt, you will generate an effective summary that encapsulates the essence of the given text in a clear, detailed, and reader-friendly manner. Optimize output as markdown file.
"{text}"
@ -45,7 +45,7 @@ def setup_summarization_chain():
input_variables=["text"],
)
llm = ChatOllama(model="llama2")
llm = ChatOllama(model="llama3")
llm_chain = LLMChain(llm=llm, prompt=prompt_template)
return llm_chain