ComponentsLLMsMosaicMLMosaicMLMosaicML offers a managed inference service. You can either use a variety of open source models, or deploy your own.This example goes over how to use LangChain to interact with MosaicML Inference for text completion.# sign up for an account: https://forms.mosaicml.com/demo?utm_source=langchainfrom getpass import getpassMOSAICML_API_TOKEN = getpass()import osos.environ["MOSAICML_API_TOKEN"] = MOSAICML_API_TOKENfrom langchain.llms import MosaicMLfrom langchain.prompts import PromptTemplatefrom langchain.chains import LLMChaintemplate = """Question: {question}"""prompt = PromptTemplate(template=template, input_variables=["question"])llm = MosaicML(inject_instruction_format=True, model_kwargs={"max_new_tokens": 128})llm_chain = LLMChain(prompt=prompt, llm=llm)question = "What is one good reason why you should train a large language model on domain specific data?"llm_chain.run(question)PreviousModalNextNLP Cloud