example:
google_paramsThe type of the AI LLM endpoint params object for Google.
This parameter is required.Value is always google_paramsexample:
0The temperature is used for sampling during response generation, which occurs when top-P and top-K are applied. Temperature controls the degree of randomness in the token selection.example:
1Top-K changes how the model selects tokens for output. A low top-K means the next selected token is
the most probable among all tokens in the model’s vocabulary (also called greedy decoding),
while a high top-K means that the next token is selected from among the three most probable tokens by using temperature.example:
1Top-P changes how the model selects tokens for output. Tokens are selected from the most (see top-K) to least probable until the sum of their probabilities equals the top-P value.