Plum AI provides a developer API that evaluates and enhances the quality of large language model (LLM) applications through continuous fine-tuning and customized evaluation criteria. By generating optimized data for fine-tuning, Plum ensures that LLMs align with specific business expectations and maintain up-to-date performance metrics.
Funding
$150K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and maintaining high-quality large language model (LLM) applications requires continuous evaluation and fine-tuning to ensure alignment with specific business needs and expectations. Traditional methods for evaluating and improving LLMs can be time-consuming, resource-intensive, and may not adequately address the nuances of specific use cases.
Solution
Plum AI offers a developer API that automates the evaluation and enhancement of LLM application quality through continuous fine-tuning and customized evaluation criteria. The API generates optimized data specifically designed for fine-tuning, ensuring that LLMs align with business expectations and maintain up-to-date performance metrics. By leveraging business use-cases to drive evaluation, Plum AI generates customized evaluation criteria for benchmarking LLM performance. This evaluation informs the creation of data for fine-tuning, resulting in a self-improving model that is aligned with business expectations.
Target Audience
Plum AI's primary customers are developers and organizations building and deploying LLM applications who require a solution for continuous evaluation and improvement.
Features
- Developer API for evaluating and improving LLM application quality
- Continuous fine-tuning to align LLMs with business expectations
- Customized evaluation criteria generation for benchmarking
- Optimized data generation for fine-tuning
- Autonomous improvement through a real-time, data-driven feedback loop