Horizon AI is an AI tool that programmatically configures LLMs (large language models) using state-of-the-art methods in minutes. With less than 10 lines of code, it automatically identifies, configures, and manages the best LLM and prompt for each unique use case.
Horizon AI uses SOTA methods and proprietary algorithms to generate the best prompt for each task and evaluate the performance of the configuration’s LLM and prompt with SOTA metrics (e.g., NLP, LLM, and proprietary) for each task.
It automates the identification of the best model for each task and automatically optimizes the hyperparameters with your prompt and output. Horizon AI provides granular versioning and logging for each task and automates LLM performance management with granular views of all events, quality, latency, cost, and more.
With its speedy deployment, you can avoid losing your competitive edge with outdated models, prompts, and low performing deployments. Its Python CLI enables you to install HorizonAI and get started with creating projects and tasks right away.
You can also create unique tasks for different prompts and evaluate data for them or use Horizon’s synthetic data generation instead. Overall, Horizon AI is a powerful tool for AI developers looking to configure LLMs with state-of-art practices, automate LLM performance management, and deploy models quickly and efficiently.