You want to use the orchestration service through SAP's generative-Al-hub-sdk.

The provided code snippet defines a Large Language Model (LLM) within the SAP Generative AI Hub SDK's orchestration service:

from gen_ai_hub.orchestration.models.llm import LLM

llm = LLM(name="gpt-40", version="latest", parameters={"max_tokens": 256, "temperature": 0.2})

1. Importing the LLM Class:

Code:from gen_ai_hub.orchestration.models.llm import LLM

Purpose:Imports the LLM class from the SDK, enabling the creation of an LLM instance.

2. Defining the LLM Instance:

Code:llm = LLM(name="gpt-40", version="latest", parameters={"max_tokens": 256, "temperature": 0.2})

Parameters:

name:Specifies the model's name, in this case, "gpt-40".

version:Indicates the model version, set to "latest" to use the most recent version.

parameters:A dictionary defining model-specific parameters:

max_tokens:Sets the maximum number of tokens (words or word pieces) the model can generate, here limited to 256 tokens.

temperature:Controls the randomness of the output; a lower value like 0.2 results in more deterministic responses.

3. Role in Orchestration Pipeline:

Function:This definition is a crucial step in the orchestration pipeline, specifying which LLM to use and configuring its behavior for subsequent tasks.

Conclusion:

The code snippet defines an LLM named "gpt-40" with specific parameters, preparing it for integration into an AI-driven workflow within SAP's Generative AI Hub.