18477515. DECISION MAKING AS LANGUAGE GENERATION simplified abstract (QUALCOMM Incorporated)
Contents
- 1 DECISION MAKING AS LANGUAGE GENERATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DECISION MAKING AS LANGUAGE GENERATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
DECISION MAKING AS LANGUAGE GENERATION
Organization Name
Inventor(s)
Roland Memisevic of Toronto (CA)
Mingu Lee of San Diego CA (US)
Sunny Praful Kumar Panchal of Toronto (CA)
DECISION MAKING AS LANGUAGE GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18477515 titled 'DECISION MAKING AS LANGUAGE GENERATION
Simplified Explanation
The processor-implemented method described in the abstract involves using a pre-trained language model to generate an output language stream based on a previous language stream input. The method then detects well-formed actions in the output language stream, performs operations in response to these actions, and appends the results back to the output language stream. This process is repeated until a termination condition is met.
- Language model-based processing of input language streams
- Detection of well-formed actions in output language streams
- Performing operations based on detected actions
- Updating output language streams with operation results
- Iterative process until termination condition is satisfied
Potential Applications
This technology could be applied in various fields such as natural language processing, machine translation, chatbots, and automated content generation.
Problems Solved
This technology streamlines the process of language processing and action detection, leading to more efficient and accurate results in various applications.
Benefits
The benefits of this technology include improved language processing accuracy, faster response times, and increased automation in tasks requiring language understanding and action execution.
Potential Commercial Applications
One potential commercial application of this technology could be in developing advanced chatbots for customer service or automated content generation for websites.
Possible Prior Art
Prior art in this field may include research on language models, natural language processing algorithms, and automated systems for processing and generating language-based content.
Unanswered Questions
How does this technology compare to existing language processing methods?
This article does not provide a direct comparison to existing language processing methods, leaving the reader to wonder about the specific advantages and limitations of this new approach.
What are the specific termination conditions mentioned in the method?
The abstract mentions a termination condition that triggers the end of the iterative process, but does not specify what these conditions could be, leaving the reader curious about the criteria for stopping the process.
Original Abstract Submitted
A processor-implemented method includes receiving an input comprising a previous language stream, and generating an output language stream by a pre-trained language model, based on the input. The method further includes detecting a well-formed action based on patterns in the output language stream, and performing an operation, by an environment, in response to detecting the well-formed action. The operation returns a result. The method also includes appending the result to the output language stream to obtain an updated output language stream. The method includes repeating the generating, with the updated output language stream as the input, the detecting, the performing, and the appending until a termination condition is satisfied.
