This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Google Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Summer Yue: Innovator in Large Language Models
Introduction
Summer Yue is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of artificial intelligence, particularly in the area of large language models (LLMs). Her innovative work focuses on improving the efficiency and effectiveness of these models, which are increasingly used in various applications.
Latest Patents
Summer Yue holds a patent titled "Instruction following in large language models to reduce computational resource consumption." This patent relates to enhancing the instruction-following capabilities of LLMs through methods such as instruction decomposition, self-evaluation, and progressive refinement. The system she developed can obtain natural language-based input, generate multiple candidate responses, and evaluate these responses based on the instructions provided. The process allows for the progressive refinement of candidate responses until specific termination criteria are met. This innovation not only improves the interaction with client devices but also facilitates fine-tuning of the LLM using database inputs.
Career Highlights
Summer Yue is currently employed at Google Inc., where she continues to push the boundaries of AI technology. Her work has garnered attention for its potential to significantly reduce computational resource consumption while enhancing the performance of LLMs.
Collaborations
Throughout her career, Summer has collaborated with talented individuals such as Ragha Kotikalapudi and Swaroop Mishra. These collaborations have contributed to the advancement of her projects and the overall innovation landscape in AI.
Conclusion
Summer Yue is a trailblazer in the field of artificial intelligence, with her patent on large language models showcasing her innovative spirit. Her contributions are paving the way for more efficient AI systems that can better understand and respond to human instructions.
