Yi
01.AI, founded by Dr. Kai-Fu Lee, is a global company at the forefront of AI 2.0. They offer cutting-edge large language models, including the Yi series, which range from 6B to hundreds of billions of parameters. 01.AI also provides multimodal models, an open API platform, and open-source options like Yi-34B/9B/6B and Yi-VL.
## Installing the langchain packages needed to use the integration
%pip install -qU langchain-community
Prerequisite
An API key is required to access Yi LLM API. Visit https://www.lingyiwanwu.com/ to get your API key. When applying for the API key, you need to specify whether it's for domestic (China) or international use.
Use Yi LLM
import os
os.environ["YI_API_KEY"] = "YOUR_API_KEY"
from langchain_community.llms import YiLLM
# Load the model
llm = YiLLM(model="yi-large")
# You can specify the region if needed (default is "auto")
# llm = YiLLM(model="yi-large", region="domestic") # or "international"
# Basic usage
res = llm.invoke("What's your name?")
print(res)
API Reference:YiLLM
# Generate method
res = llm.generate(
prompts=[
"Explain the concept of large language models.",
"What are the potential applications of AI in healthcare?",
]
)
print(res)
# Streaming
for chunk in llm.stream("Describe the key features of the Yi language model series."):
print(chunk, end="", flush=True)
# Asynchronous streaming
import asyncio
async def run_aio_stream():
async for chunk in llm.astream(
"Write a brief on the future of AI according to Dr. Kai-Fu Lee's vision."
):
print(chunk, end="", flush=True)
asyncio.run(run_aio_stream())
# Adjusting parameters
llm_with_params = YiLLM(
model="yi-large",
temperature=0.7,
top_p=0.9,
)
res = llm_with_params(
"Propose an innovative AI application that could benefit society."
)
print(res)
Related
- LLM conceptual guide
- LLM how-to guides