text: be stuck up. Try to understand others where they're coming from. Like minded people can build a tribe together.Serializing an LLMâ€‹You can also save and load LLM configurationsfrom langchain.llms.loading import load_llmfrom langchain.llms.azureml_endpoint import AzureMLEndpointClientsave_llm = AzureMLOnlineEndpoint(    deployment_name="databricks-dolly-v2-12b-4",    model_kwargs={        "temperature": 0.2,        "max_tokens": 150,        "top_p": 0.8,        "frequency_penalty": 0.32,        "presence_penalty": 72e-3,    },)save_llm.save("azureml.json")loaded_llm = load_llm("azureml.json")print(loaded_llm)    AzureMLOnlineEndpoint    Params: {'deployment_name': 'databricks-dolly-v2-12b-4', 'model_kwargs': {'temperature': 0.2, 'max_tokens': 150, 'top_p': 0.8, 'frequency_penalty': 0.32, 'presence_penalty': 0.072}}PreviousAzure OpenAINextBananaSet upContent FormatterCustom Content FormatterDolly with LLMChainSerializing an LLMCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.