Lamini

Lamini is a powerful tool that helps software teams build and manage their own Language Learning Models quickly and efficiently.

This platform is designed with enterprise-level capabilities, making it ideal for organizations that need to customize their LLMs using large sets of proprietary documents. Lamini’s goal is to improve model performance, reduce errors (often referred to as "hallucinations"), provide reliable citations, and ensure safety in usage.

Lamini offers flexibility in deployment, allowing users to choose between on-premise installations or secure cloud setups. One of its standout features is the ability to run LLMs on AMD GPUs, alongside the traditional support for Nvidia GPUs. This adaptability makes it suitable for a wide range of organizations, from Fortune 500 companies to cutting-edge AI startups.

One of the helpful features included in Lamini is Lamini Memory Tuning, which aids in achieving high accuracy for your models. It’s built to work smoothly in various environments, so whether you prefer running it on your own servers or in the public cloud, you’re covered.

With a strong focus on delivering JSON output that fits your application’s needs, Lamini emphasizes maintaining precise data schemas. Plus, its fast processing capabilities mean you can handle a lot of queries efficiently, enhancing the overall user experience.

Additionally, Lamini is equipped with features designed to boost the accuracy of your LLM while minimizing the risk of incorrect outputs. The platform aims to ensure that your models work exceptionally well, giving you reliable results.