Amazon technologies, inc. (20240202458). GENERATING PROMPT RECOMMENDATIONS FOR NATURAL LANGUAGE PROCESSING TASKS simplified abstract

GENERATING PROMPT RECOMMENDATIONS FOR NATURAL LANGUAGE PROCESSING TASKS

Organization Name

amazon technologies, inc.

Inventor(s)

Sheng Zha of New York NY (US)

Miguel Ballesteros Martinez of New York NY (US)

Yassine Benajiba of Briarcliff Manor NY (US)

Cole Hawkins of New York NY (US)

Aditya Rawal of Mountain View CA (US)

Dhananjay Ram of Kirkland WA (US)

Min Rong Samson Tan of Mountain View CA (US)

Abhinav Goyal of Snohomish WA (US)

Brant Swidler of Kauneonga Lake NY (US)

GENERATING PROMPT RECOMMENDATIONS FOR NATURAL LANGUAGE PROCESSING TASKS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240202458 titled 'GENERATING PROMPT RECOMMENDATIONS FOR NATURAL LANGUAGE PROCESSING TASKS

Simplified Explanation: The abstract describes a method for identifying prompts for natural language processing machine learning models. It involves determining prompts for specific tasks, selecting candidate prompts, evaluating the results, and generating prompt recommendations.

Key Features and Innovation:

• Method for identifying prompts for natural language processing tasks
• Task classification for prompt selection
• Evaluation of prompt results for recommendation generation

Potential Applications: This technology can be applied in various natural language processing tasks such as text generation, sentiment analysis, and language translation.

Problems Solved: This technology addresses the challenge of selecting appropriate prompts for natural language processing tasks, improving the efficiency and accuracy of machine learning models.

Benefits:

• Enhanced performance of natural language processing models
• Streamlined process for prompt selection
• Improved task classification accuracy

Commercial Applications: Potential commercial applications include chatbots, virtual assistants, language translation services, and sentiment analysis tools.

Prior Art: Prior research in natural language processing, machine learning, and prompt selection algorithms can provide insights into similar technologies and approaches.

Frequently Updated Research: Stay informed about advancements in natural language processing, machine learning, and prompt selection algorithms to enhance the effectiveness of this technology.

Questions about Natural Language Processing Prompt Discovery: 1. How does this technology improve the efficiency of natural language processing tasks? 2. What are the key factors considered in selecting candidate prompts for machine learning models?

Original Abstract Submitted

prompt discovery is performed for identifying prompts to natural language processing machine learning models. a request to determine a prompt for a natural language processing task performed by a pre-trained natural language processing machine learning model may be received. a task classification for the natural language processing task may be determined and candidate prompts for the natural language processing prompt task collection selected. respective prompt results for the candidate prompts are evaluated to generate a prompt recommendation for the natural language processing task.