Company advances its patent application for using AI prompts to interface with large language models (LLMs) to a non-provisional application
“Although we have believed we were leading the AI space with important and patentable technology when we began the process of training our algorithm to deliver a premium ad-free AM/FM listening experience, there is a big difference between filing a patent application and having the application approved,” said
In addition to issuance of Patent 11,935,520, the Company has taken the next step in advancing the provisional patent application it filed last year related to leveraging AI to improve large language model (LLM) prompts and the domain specific knowledge of proprietary GPTs. In February of 2024, the Company converted the previously filed provisional application to a non-provisional application. This conversion initiates the process for the patent office to review the application as the next step in pursuing patent protection.
As the Company highlighted last year when filing the provisional application, the non-provisional patent application introduces two significant improvements to the LLM space. First, the proposed patent claims cover the development of new machine learning algorithms that use the rich data inherent in chat conversations to learn how to optimize prompts to more efficiently extract the best results from LLMs. Second, the patent covers capturing the AI generated prompt improvements and the enriched outputs of the LLMs to create new GPTs with industry specific domain expertise.
“As the technology landscape continues to accelerate, we continue to evaluate new technologies to determine how we can use them to introduce unique capabilities and experiences for creators and consumers within the audio space,” said
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