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Sophisticated AI node for generating detailed and contextually relevant responses with customizable parameters.
OllamaGenerateAdvance is a sophisticated node designed to generate advanced AI-driven responses based on a given prompt. This node leverages the capabilities of the Ollama model to produce detailed and contextually relevant outputs, making it an invaluable tool for AI artists looking to create intricate and nuanced content. The primary function of this node is to take a user-defined prompt and generate a response using advanced parameters that allow for fine-tuning and customization of the output. This includes options for adjusting the randomness, temperature, and other generation settings, providing you with greater control over the creative process. The node is particularly beneficial for tasks that require high levels of detail and specificity, such as generating complex narratives, dialogues, or artistic descriptions.
The text input that serves as the basis for the AI-generated response. This is the core content that the model will use to generate its output. The quality and relevance of the prompt directly impact the generated response.
A toggle parameter that enables or disables debug mode. When set to "enable," it provides detailed logs of the request and response, which can be useful for troubleshooting and understanding the model's behavior. Options: "enable", "disable".
The endpoint URL of the Ollama model server. This parameter specifies where the request will be sent for processing. It is crucial for connecting to the correct model instance.
The name of the primary model to be used for generating the response. This parameter determines the base capabilities and characteristics of the generated output.
An optional parameter that allows you to specify an additional model to be used in conjunction with the primary model. This can enhance the output by combining the strengths of multiple models. Default is "none".
A parameter that defines the system settings or configurations to be used during the generation process. This can include various system-level adjustments that affect the model's performance.
A numerical value used to initialize the random number generator for the model. Setting a specific seed ensures reproducibility of the generated output. Default is a random seed.
An integer parameter that limits the sampling pool to the top K most likely next words. This helps in controlling the diversity of the generated text. Minimum: 1, Maximum: 100, Default: 50.
A float parameter that sets the cumulative probability threshold for token selection. It helps in controlling the randomness of the output. Minimum: 0.0, Maximum: 1.0, Default: 0.9.
A float parameter that controls the randomness of predictions by scaling the logits before applying softmax. Higher values result in more random outputs. Minimum: 0.0, Maximum: 1.0, Default: 0.7.
An integer parameter that specifies the number of tokens to predict. This determines the length of the generated response. Minimum: 1, Maximum: 1000, Default: 100.
A float parameter that adjusts the token frequency suppression. It helps in reducing the repetition of common tokens. Minimum: 0.0, Maximum: 1.0, Default: 0.5.
A boolean parameter that determines whether to keep the connection alive for multiple requests. This can improve performance for batch processing. Options: True, False.
An optional parameter that provides additional context for the generation process. This can include previous interactions or relevant background information to enhance the relevance of the output. Default is None.
The AI-generated text based on the provided prompt and input parameters. This is the primary output of the node and contains the creative content generated by the model.
The context information used or generated during the response creation. This can include metadata or additional details that provide insight into the generation process and can be used for further interactions.
temperature
parameter.seed
parameter to ensure reproducibility of results, especially when fine-tuning prompts for specific outputs.debug
mode to gain insights into the request and response process, which can help in troubleshooting and optimizing the input parameters.top_k
and top_p
parameters to balance between diversity and coherence in the generated text.© Copyright 2024 RunComfy. All Rights Reserved.