Quickstart Guide

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Why Prem?

Prem is a platform that’s packaged with the necessary tools to effortlessly integrate Generative AI into your applications.

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With Prem you can:

• Simultaneously test and monitor LLMs in the Prem Lab: Compare the performance of multiple models and find the best fit for your use case.
• Train models in the Prem Gym: Leverage Prem’s ability to autonomously fine-tune models. The Gym is your place to beef up your deployment models by continuously fine-tuning your data in order to improve performance.
• Seamlessly create RAG-based assistants: Prem is capable of interacting with your documents. Just upload the documents, and we’ll take care of the rest.
• Launch and use the Prem JavaScript and Python SDKs: Integrate your custom AI into your applications with minimal effort.

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Quickstart

✌️ This guide shows you how to create a Generative AI application with Prem in minutes.

pip install premai

from premai import Prem

client = Prem(
api_key=YOUR_API_KEY
)

messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
]
model = "gpt-3.5-turbo"
project_id = PROJECT_ID

# Create completion

response = client.chat.completions.create(
project_id=project_id,
messages=messages,
model=model,
stream=False
)

print(response.choices)

# Create completion with stream

response = client.chat.completions.create(
project_id=project_id,
messages=messages,
model=model,
stream=True
)

for chunk in response:
if chunk.choices[0].delta["content"]:
print(chunk.choices[0].delta["content"], end="")

print(f"\nTrace ID: {response.trace_id}")

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Next steps

• Continue to test LLMs in the Lab.
• Check out the API reference.
• Connect your documents to the LLM to enhance its knowledge.
• Fine-tune your LLMs in the Gym.

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Read the guides