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Demo 02 - LLM configuration
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In this step, we will play with various configurations of the language model (LLM)
# Temperature
`quarkus.langchain4j.openai.chat-model.temperature` controls the randomness of the model’s responses.
Lowering the temperature will make the model more conservative, while increasing it will make it more creative.
# Max tokens
`quarkus.langchain4j.openai.chat-model.max-tokens` limits the length of the response.
# Frequency penalty
`quarkus.langchain4j.openai.chat-model.frequency-penalty` defines how much the model should avoid repeating itself.