LLM Studio
An "evaluation first" LLM Platform to help build, evaluate and guardrail LLM applications, at lightning speed!
Large Language Models are unlocking unprecedented possibilities. But going from a flashy demo to a production-ready app isn’t easy.
- Which prompts and models fit your use case?
- How do you evaluate output quality and performance?
- How do you set guardrails to maintain compliance and reduce hallucinations?
Galileo LLM Studio is a platform for building production-grade LLM applications. LLM studio helps you with Experimentation, Evaluation, and Observability for both your prompt-engineered and fine-tuned LLM applications. Our algorithm-powered insights are meant to help you get to better models quickly. LLM Studio was designed by data scientists, for data scientists.
The LLM Studio is composed of three modules:
Designed to help you find the best models and prompts for your use case, Prompt is a prompt engineering workbench that allows you to evaluate and experiment with your prompts. Prompt provides a series of out-of-the-box evaluation metrics you can use to measure the performance of your LLMs and curb any hallucinations or unwanted behavior. It also supports adding custom evaluation functions tailored to your business needs. Manage all your prompt versions, rate, and collaborate on prompt templates, all from one place.
For more information and details on how to get started, check out:
Built to trace and monitor your LLM applications once they're in production, Galileo Monitor is an LLM monitoring and observability platform to help you keep a close eye on your productionized LLMs. Like Prompt, Monitor provides a series of out-of-the-box evaluation metrics and guardrails you can use to measure the performance of your LLMs and keep an eye out for any hallucinations or unwanted behavior. It also supports adding custom evaluation functions tailored to your business needs. Monitor is the one-stop shop to monitor your LLMs.
For more information and details on how to get started, check out:
Made to help you fine-tune the best LLM possible, Galileo Fine-Tune empowers you to find and fix any issues in your training data in order to increase the quality of your models. Galileo Fine-Tune automatically finds the most problematic samples, gives you insights into why these samples are problematic, and enables you to fix them. High-quality models require high-quality data. Galileo Fine-Tune builds on Galileo's strengths in the NLP and CV Studios to provide you with the tools needed to achieve high-quality datasets.
For more information and details on how to get started, check out:
Last modified 13d ago