MosaicML
MosaicML 提供受管理的推論服務。您可以使用各種開源模型，也可以部署自己的模型。
本範例說明如何使用 LangChain 與 MosaicML Inference 進行文字完成。
# sign up for an account: https://forms.mosaicml.com/demo?utm_source=langchain
from getpass import getpass
MOSAICML_API_TOKEN = getpass()
import os
os.environ["MOSAICML_API_TOKEN"] = MOSAICML_API_TOKEN
from langchain.chains import LLMChain
from langchain_community.llms import MosaicML
from langchain_core.prompts import PromptTemplate
template = """Question: {question}"""
prompt = PromptTemplate.from_template(template)
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)