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Introduction:
Are you tired of spending hours manually configuring and managing LLMs for your AI projects?
Introducing Horizon AI, the ultimate solution for automated LLM management for developers. With just a few lines of code, Horizon AI leverages cutting-edge methods to programmatically configure LLMs in minutes.
Gone are the days of struggling to find the best model and prompt for each unique use case. Horizon AI automatically identifies, configures, and manages the optimal LLM and prompt, using state-of-the-art methods and proprietary algorithms.
But that’s not all. Horizon AI takes it a step further by evaluating the performance of your LLM and prompt with SOTA metrics, such as NLP, LLM, and proprietary measures. It even optimizes hyperparameters to ensure peak efficiency.
With granular versioning and logging, Horizon AI provides a comprehensive view of all events, quality, latency, cost, and more. Say goodbye to outdated models and low-performing deployments – Horizon AI ensures you never lose your competitive edge.
And getting started is a breeze. Simply install HorizonAI using its Python CLI and begin creating projects and tasks immediately. Whether you prefer evaluating data or utilizing Horizon’s synthetic data generation, the choice is yours.
In summary, Horizon AI empowers AI developers with state-of-the-art practices for LLM configuration, automated performance management, and rapid deployment. Stay ahead of the game with Horizon AI.
Overview:
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 With its speedy deployment, you can avoid losing your competitive edge with outdated models, prompts, and low performing deployments.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.
Benefits:
- Programmatically configures LLMs using state-of-the-art methods in minutes
- Automatically identifies, configures, and manages the best LLM and prompt for each unique use case
- Generates the best prompt for each task and evaluates performance with SOTA metrics
- Automates the identification of the best model for each task and optimizes hyperparameters
- Provides granular versioning and logging for each task and automates LLM performance management
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