Configure your LLM experiment parameters and run it to generate responses with quality metrics.
A descriptive name for your experiment
Optional description of your experiment goals
The prompt that will be sent to the LLM
Controls the randomness of the output. Lower values (0.1-0.3) produce more focused, deterministic responses. Higher values (0.7-1.0) produce more creative, diverse responses.
Controls the diversity of token selection. Lower values (0.1-0.3) focus on high-probability tokens, while higher values (0.7-0.9) allow more diverse token selection.
Limits the number of highest-probability tokens to consider. Lower values (10-20) focus on the most likely tokens, while higher values (40-50) allow more vocabulary diversity.
Sets the maximum length of the generated response. Lower values (10-50) produce concise answers, while higher values (100-500) allow for more detailed, comprehensive responses.