The correct answer to the question would be The Dallas Cowboys!.Let's increase the odds for the correct answer, by fine-tuning on the correct answer using the PromptTemplate.dataset = [{"inputs": template.format(question="What NFL team won the Super Bowl in 1994?") + " The Dallas Cowboys!"}]dataset    [{'inputs': 'Question: What NFL team won the Super Bowl in 1994?\n\nAnswer:  The Dallas Cowboys!'}]new_model.fine_tune(    samples=dataset)    FineTuneResponse(number_of_trainable_tokens=27, sum_loss=78.17996)# we can keep the llm_chain, as the registered model just got refreshed on the gradient.ai servers.llm_chain.run(    question=question)    'The Dallas Cowboys'PreviousGPT4AllNextHugging Face HubImportsSet the Environment API KeyCreate the Gradient instanceCreate a Prompt TemplateInitiate the LLMChainRun the LLMChainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Gradient allows to fine tune and get completions on LLMs with a simple web API.
Gradient allows to fine tune and get completions on LLMs with a simple web API. ->: The correct answer to the question would be The Dallas Cowboys!.Let's increase the odds for the correct answer, by fine-tuning on the correct answer using the PromptTemplate.dataset = [{"inputs": template.format(question="What NFL team won the Super Bowl in 1994?") + " The Dallas Cowboys!"}]dataset    [{'inputs': 'Question: What NFL team won the Super Bowl in 1994?\n\nAnswer:  The Dallas Cowboys!'}]new_model.fine_tune(    samples=dataset)    FineTuneResponse(number_of_trainable_tokens=27, sum_loss=78.17996)# we can keep the llm_chain, as the registered model just got refreshed on the gradient.ai servers.llm_chain.run(    question=question)    'The Dallas Cowboys'PreviousGPT4AllNextHugging Face HubImportsSet the Environment API KeyCreate the Gradient instanceCreate a Prompt TemplateInitiate the LLMChainRun the LLMChainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.