Horizon

Horizon AI is an AI tool designed to programmatically configure large language models (LLMs) using state-of-the-art methods in minutes. It can automatically identify, configure, and manage the best LLM and prompt for each unique use case with less than 10 lines of code. Horizon AI uses both 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 such as natural language processing (NLP), language modeling (LM), and other proprietary metrics. By automating the identification of the best model for each task, it optimizes hyperparameters quickly with your prompt and output.

The Python CLI provided by Horizon AI enables developers to install HorizonAI easily and begin creating projects and tasks right away. You can also create unique tasks with distinct prompts, or use its synthetic data generation for evaluation data instead. The tool also provides granular versioning and logging for each task, along with automated LLM performance management that gives you detailed views on events, quality, latency, cost, etc. With a fast deployment process, you can stay ahead of competitors who are stuck using outdated models or low performing deployments.

In conclusion, Horizon AI is a great choice for developers looking to configure LLMs using state-of-the-art practices quickly while keeping track of their models' performance management activities through its granular views feature. Its speedy deployment process helps keep competitive