Horizon

LLM deploymentLLM deployment

Description

Horizon AI: Automate LLM Configuration & Performance Management. Program LLMs in minutes using SOTA methods. Automatically identify, configure, and manage the best models and prompts for each unique use case. Get granular versioning, logging, and views of all events, quality, latency, and cost. Speedy deployment and Python CLI for easy project creation. Improve AI model performance and stay ahead with Horizon AI.

About Horizon

Horizon AI is a cutting-edge AI tool that revolutionizes the way large language models (LLMs) are configured. Using state-of-the-art methods, Horizon AI programmatically configures LLMs in just 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 leverages the latest research and proprietary algorithms to generate the optimal prompt for each task. It evaluates the performance of the configuration's LLM and prompt using state-of-the-art metrics such as natural language processing (NLP), LLM, and proprietary criteria for each task. Additionally, it automates the identification of the best model for each task and optimizes hyperparameters to ensure optimal performance with your prompt and output.

With Horizon AI, you gain granular versioning and logging capabilities for each task. It automates LLM performance management, providing detailed insights into events, quality, latency, cost, and more. This allows you to make informed decisions and avoid using outdated models, prompts, or low-performing deployments that could hamper your competitive edge.

Horizon AI offers a speedy deployment process, ensuring you can quickly implement and deploy models. With its Python CLI, you can easily install Horizon AI and start creating projects and tasks right away. Whether you need to evaluate data for unique prompts or utilize Horizon's synthetic data generation, Horizon AI provides the tools you need.

Overall, Horizon AI is a powerful tool designed specifically for AI developers. It simplifies the configuration of LLMs with state-of-the-art practices, automates LLM performance management, and enables quick and efficient model deployments.

Tags

LLM deployment
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