main:
  project_name: lux-voice-processing
  experiment_name: train_llm
parameters:
  data: "llm_queries:latest"
  system_template: "system_template:latest"
openai_parameters:
  model: "gpt-3.5-turbo-1106"
  temperature: 0.5
  stream: False
  frequency_penalty: 1.0 # range -2,2 -> higher new tokens more probable
  n: 1 #How many chat completion choices to generate for each input message. n=1 minimize costs
  presence_penalty: 1.0 # range -2.0,2.0, Positive values increase the model's likelihood to talk about new topics.
  response_format: { "type": "json_object" }
  seed: 42 #to obtain same answer on same question