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- = USER-CENTRIC AND LLM-ENHANCED ADAPTIVE ETL CODE SYNTHESIS = ...":"Patent Application","identifier":"20250165231","name":"User-centric And Llm-enhanced Ad","additionalProperty":[{"@type":"PropertyValue","name":"Organiz ...2 KB (285 words) - 11:07, 25 May 2025
- = LLM driven multimodal human-robot interaction planning = ...rmit","permitType":"Patent Application","identifier":"20250196363","name":"Llm Driven Multimodal Hu","additionalProperty":[{"@type":"PropertyValue","name" ...3 KB (352 words) - 08:05, 23 June 2025
- ...d systems for operating a vehicle include prompting a large language model llm to generate parameters for a rule-based planner based on historical data fo =LLM-BASED HYBRID PLANNER FOR AUTONOMOUS DRIVING= ...3 KB (442 words) - 06:28, 9 May 2025
- Cisco technology, inc. (20250150321). LLM-BASED NETWORK TROUBLESHOOTING USING EXPERT-CURATED RECIPES...h, 2025","mainEntity":{"@type":"Patent","identifier":"20250150321","name":"LLM-BASED NETWORK TROUBLESHOOTING USING EXPERT-CURATED RECIPES","abstract":"in =LLM-BASED NETWORK TROUBLESHOOTING USING EXPERT-CURATED RECIPES= ...4 KB (478 words) - 06:31, 9 May 2025
- ...d systems for operating a vehicle include prompting a large language model LLM to generate parameters for a rule-based planner based on historical data fo =LLM-BASED HYBRID PLANNER FOR AUTONOMOUS DRIVING= ...3 KB (442 words) - 03:18, 11 May 2025
- ...2023-11-03","mainEntity":{"@type":"Patent","identifier":"18386837","name":"LLM-BASED NETWORK TROUBLESHOOTING USING EXPERT-CURATED RECIPES","abstract":"In =LLM-BASED NETWORK TROUBLESHOOTING USING EXPERT-CURATED RECIPES= ...4 KB (478 words) - 03:29, 11 May 2025
- ...type":"Patent","identifier":"20250148222","name":"EVALUATION FRAMEWORK FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS","abstract":"in one imp =EVALUATION FRAMEWORK FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS= ...3 KB (473 words) - 06:31, 9 May 2025
- ...@type":"Patent","identifier":"20250148290","name":"OBJECTIVE SELECTION FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS","abstract":"in one imp =OBJECTIVE SELECTION FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS= ...4 KB (465 words) - 06:31, 9 May 2025
- ...{"@type":"Patent","identifier":"18388003","name":"EVALUATION FRAMEWORK FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS","abstract":"In one imp =EVALUATION FRAMEWORK FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS= ...3 KB (473 words) - 03:28, 11 May 2025
- ...:{"@type":"Patent","identifier":"18386833","name":"OBJECTIVE SELECTION FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS","abstract":"In one imp =OBJECTIVE SELECTION FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS= ...4 KB (465 words) - 03:28, 11 May 2025
- ...for focused edit(s). such a text prompt can be processed using the larger llm, to generate focused edit(s) to the initial content that refine the initiat =HYBRID INFERENCE FOR AN EFFICIENT, LOW LATENCY LLM-BASED ASSISTANT= ...3 KB (487 words) - 06:04, 9 May 2025
- ...for focused edit(s). Such a text prompt can be processed using the larger LLM, to generate focused edit(s) to the initial content that refine the initiat =HYBRID INFERENCE FOR AN EFFICIENT, LOW LATENCY LLM-BASED ASSISTANT= ...3 KB (487 words) - 02:24, 11 May 2025
- ...ntifier":"20250150356","name":"CITING SOURCES FROM USER INTERFACE VIEWS IN LLM-BASED NETWORK AGENTS","abstract":"in one implementation, a device receives =CITING SOURCES FROM USER INTERFACE VIEWS IN LLM-BASED NETWORK AGENTS= ...3 KB (452 words) - 06:31, 9 May 2025
- ...identifier":"18386809","name":"CITING SOURCES FROM USER INTERFACE VIEWS IN LLM-BASED NETWORK AGENTS","abstract":"In one implementation, a device receives =CITING SOURCES FROM USER INTERFACE VIEWS IN LLM-BASED NETWORK AGENTS= ...3 KB (452 words) - 03:29, 11 May 2025
- ...h, 2025","mainEntity":{"@type":"Patent","identifier":"20250150364","name":"LLM-BASED AGENT AS A BACK-OFFICE VIRTUAL NETWORK TROUBLESHOOTING ASSISTANT","ab =LLM-BASED AGENT AS A BACK-OFFICE VIRTUAL NETWORK TROUBLESHOOTING ASSISTANT= ...4 KB (484 words) - 06:31, 9 May 2025
- ...2023-11-03","mainEntity":{"@type":"Patent","identifier":"18386900","name":"LLM-BASED AGENT AS A BACK-OFFICE VIRTUAL NETWORK TROUBLESHOOTING ASSISTANT","ab =LLM-BASED AGENT AS A BACK-OFFICE VIRTUAL NETWORK TROUBLESHOOTING ASSISTANT= ...4 KB (484 words) - 03:29, 11 May 2025
- ...0148291","name":"USING A CURRICULUM FOR REINFORCEMENT LEARNING TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT","abstract":"in one implementation, a d =USING A CURRICULUM FOR REINFORCEMENT LEARNING TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT= ...4 KB (520 words) - 06:31, 9 May 2025
- ...8388010","name":"USING A CURRICULUM FOR REINFORCEMENT LEARNING TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT","abstract":"In one implementation, a d =USING A CURRICULUM FOR REINFORCEMENT LEARNING TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT= ...4 KB (520 words) - 03:28, 11 May 2025
- ..."mainEntity":{"@type":"Patent","identifier":"20250150328","name":"USING AN LLM-BASED AGENT TO PROVIDE SELF-HEALING CAPABILITIES TO A NETWORK","abstract":" =USING AN LLM-BASED AGENT TO PROVIDE SELF-HEALING CAPABILITIES TO A NETWORK= ...3 KB (472 words) - 06:31, 9 May 2025
- ...identifier":"20250150377","name":"GENERATING NETWORK SCENARIOS TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT","abstract":"in one implementation, a d =GENERATING NETWORK SCENARIOS TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT= ...4 KB (485 words) - 06:32, 9 May 2025
Page text matches
- ...t represents the solution to the input llm prompt in response to the input llm prompt.","applicationNumber":"20250148220","datePublished":"May 8th, 2025", ...t represents the solution to the input llm prompt in response to the input llm prompt. ...3 KB (485 words) - 06:23, 9 May 2025
- ...t represents the solution to the input LLM prompt in response to the input LLM prompt.","applicationNumber":"18592468","datePublished":"2024-02-29","inven ...t represents the solution to the input LLM prompt in response to the input LLM prompt. ...3 KB (485 words) - 02:58, 11 May 2025
- ...for focused edit(s). such a text prompt can be processed using the larger llm, to generate focused edit(s) to the initial content that refine the initiat =HYBRID INFERENCE FOR AN EFFICIENT, LOW LATENCY LLM-BASED ASSISTANT= ...3 KB (487 words) - 06:04, 9 May 2025
- ...for focused edit(s). Such a text prompt can be processed using the larger LLM, to generate focused edit(s) to the initial content that refine the initiat =HYBRID INFERENCE FOR AN EFFICIENT, LOW LATENCY LLM-BASED ASSISTANT= ...3 KB (487 words) - 02:24, 11 May 2025
- ...result of the training; and generating a third llm by updating the second llm based on the trained decision-trainer and based on a selected traffic rule. ...result of the training; and generating a third llm by updating the second llm based on the trained decision-trainer and based on a selected traffic rule. ...3 KB (436 words) - 17:03, 8 May 2025
- ...result of the training; and generating a third LLM by updating the second LLM based on the trained decision-trainer and based on a selected traffic rule. ...result of the training; and generating a third LLM by updating the second LLM based on the trained decision-trainer and based on a selected traffic rule. ...3 KB (436 words) - 07:17, 9 May 2025
- ...THOD AND APPARATUS FOR INTENT RECOGNITION BASED ON A LARGE LANGUAGE MODEL (LLM), ELECTRONIC DEVICE, AND STORAGE MEDIUM = ...first candidate intent by inputting the first prompt information into the llm. ...3 KB (380 words) - 19:19, 3 July 2025
- ...t prompt into the llm and obtaining the summary review as generated by the llm. ...2 KB (279 words) - 19:24, 3 July 2025
- = USER-CENTRIC AND LLM-ENHANCED ADAPTIVE ETL CODE SYNTHESIS = ...":"Patent Application","identifier":"20250165231","name":"User-centric And Llm-enhanced Ad","additionalProperty":[{"@type":"PropertyValue","name":"Organiz ...2 KB (285 words) - 11:07, 25 May 2025
- ...r a compliance with a policy of the cloud-computing platform; and with the llm, creating and maintaining a plurality of resources or activities associated ...2 KB (296 words) - 12:43, 25 May 2025
- ...n and identify at least an anomaly related to the found trace. the trained llm can block the transaction based on the anomaly. ...2 KB (251 words) - 19:23, 3 July 2025
- ...d systems for operating a vehicle include prompting a large language model llm to generate parameters for a rule-based planner based on historical data fo =LLM-BASED HYBRID PLANNER FOR AUTONOMOUS DRIVING= ...3 KB (442 words) - 06:28, 9 May 2025
- ...d systems for operating a vehicle include prompting a large language model LLM to generate parameters for a rule-based planner based on historical data fo =LLM-BASED HYBRID PLANNER FOR AUTONOMOUS DRIVING= ...3 KB (442 words) - 03:18, 11 May 2025
- ...cular data stored in the secondary storage and the query is input into the llm to provide the information without accessing the particular data stored. ...2 KB (297 words) - 11:23, 25 May 2025
- = LLM driven multimodal human-robot interaction planning = ...rmit","permitType":"Patent Application","identifier":"20250196363","name":"Llm Driven Multimodal Hu","additionalProperty":[{"@type":"PropertyValue","name" ...3 KB (352 words) - 08:05, 23 June 2025
- ...0148291","name":"USING A CURRICULUM FOR REINFORCEMENT LEARNING TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT","abstract":"in one implementation, a d =USING A CURRICULUM FOR REINFORCEMENT LEARNING TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT= ...4 KB (520 words) - 06:31, 9 May 2025
- ...8388010","name":"USING A CURRICULUM FOR REINFORCEMENT LEARNING TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT","abstract":"In one implementation, a d =USING A CURRICULUM FOR REINFORCEMENT LEARNING TO TRAIN AN LLM-BASED NETWORK TROUBLESHOOTING AGENT= ...4 KB (520 words) - 03:28, 11 May 2025
- ...@type":"Patent","identifier":"20250148290","name":"OBJECTIVE SELECTION FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS","abstract":"in one imp =OBJECTIVE SELECTION FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS= ...4 KB (465 words) - 06:31, 9 May 2025
- ...:{"@type":"Patent","identifier":"18386833","name":"OBJECTIVE SELECTION FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS","abstract":"In one imp =OBJECTIVE SELECTION FOR LLM-BASED NETWORK TROUBLESHOOTING AND MONITORING AGENTS= ...4 KB (465 words) - 03:28, 11 May 2025
- ..."mainEntity":{"@type":"Patent","identifier":"20250150328","name":"USING AN LLM-BASED AGENT TO PROVIDE SELF-HEALING CAPABILITIES TO A NETWORK","abstract":" =USING AN LLM-BASED AGENT TO PROVIDE SELF-HEALING CAPABILITIES TO A NETWORK= ...3 KB (472 words) - 06:31, 9 May 2025