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LangChain and Weaviate with Harrison Chase and Bob van Luijt - Weaviate Podcast #36
Weaviate Podcast
The Importance of Rationality in Prompt Engineering
Harrison: I'm really curious about this intersection between like, you could sample many decodings from the large language model. What do you think about that temperature parameter on the large language models? Harrison: One is leveraging their like reasoning ability and their ability to take ambiguity and decipher and decide what to do. And then the other is generating text, right, generating pros, generating poems. He says there's a place in time for both approaches; combining data with language would be most interesting.
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