The `top_k` parameter (range: 0.0 - 40, default 40)

#### The `top_k` parameter (range: 0.0 - 40, default 40) ##### What is _top_k_? `top_k` changes how the model selects tokens for output. A `top_k` of 1 means the selected token is the most probable among all tokens in the model's vocabulary (also called greedy decoding). In contrast, a `top_k` of 3 means that the next token is selected from the top 3 most probable tokens (using temperature). For each token selection step, the `top_k` tokens with the highest probabilities are sampled. Then tokens are further filtered based on `top_p` with the final token selected using temperature sampling. ##### How does _top_k_ affect the response? Specify a lower value for less random responses and a higher value for more random responses. For more information on the `top_k` parameter for text models, please refer to the [documentation on model parameters](https://cloud.google.com/vertex-ai/docs/generative-ai/learn/models#text_model_parameters).