Stuart MURRAY

IDENTIFYING AND ANALYZING ACTIONS FROM VECTOR REPRESENTATIONS OF ALPHANUMERIC CHARACTERS USING A LARGE LANGUAGE MODEL

IDENTIFYING AND REMEDIATING GAPS IN ARTIFICIAL INTELLIGENCE USE CASES USING A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL

MANAGING OPERATIONAL RESILIENCE OF SYSTEM ASSETS USING AN ARTIFICIAL INTELLIGENCE MODEL

PROMPT REFINEMENT TO IMPROVE ACCURACY OF OUTPUTS FROM MACHINE LEARNING MODELS

MANAGING DIGITAL ARTIFACT ACCESS USING AGENTIC ARTIFICIAL INTELLIGENCE MODELS

VALIDATING AUTONOMOUS ARTIFICIAL INTELLIGENCE (AI) AGENTS USING GENERATIVE AI

DETECTING ANOMALOUS RESOURCE DISTRIBUTION PATTERNS IN DISTRIBUTED ARTIFICIAL INTELLIGENCE-BASED AGENT NETWORKS

ALLOCATING RESOURCES AMONG AUTONOMOUS ARTIFICIAL INTELLIGENCE AGENTS WITHIN A DISTRIBUTED COMPUTATIONAL NETWORK

KNOWLEDGE REGISTRY FOR AGENTIC ARTIFICIAL INTELLIGENCE MODELS STORED ON A DISTRIBUTED NETWORK

RESOURCE UTILIZATION ESTIMATION AND ALLOCATION FOR MULTI-AGENT COMPUTATIONAL SYSTEMS

THRESHOLD-BASED ADAPTIVE ONTOLOGY AND KNOWLEDGE GRAPH MODIFICATION USING GENERATIVE ARTIFICIAL INTELLIGENCE

RESOURCE UTILIZATION ESTIMATION AND ALLOCATION FOR MULTI-AGENT COMPUTATIONAL SYSTEMS

EXPLAINABLE LARGE LANGUAGE MODEL ROUTING WITH IMMUTABLE AUDIT TRAILS

INTELLIGENT QUERY DECOMPOSITION, SPECIALIZED MODEL ROUTING, AND HIERARCHICAL AGGREGATION WITH CONFLICT RESOLUTION

MULTI-VARIABLE OPTIMIZATION FOR ROUTING REQUESTS TO LANGUAGE MODELS

QUERYING DATA USING SPECIALIZED AND GENERALIZED ARTIFICIAL INTELLIGENCE MODELS

LATENCY-, ACCURACY-, AND PRIVACY-SENSITIVE TUNING OF ARTIFICIAL INTELLIGENCE MODEL SELECTION PARAMETERS AND SYSTEMS AND METHODS OF THE SAME

IDENTIFYING AND REMEDIATING GAPS IN ARTIFICIAL INTELLIGENCE USE CASES USING A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL

VALIDATING AUTONOMOUS ARTIFICIAL INTELLIGENCE (AI) AGENTS USING GENERATIVE AI

SYSTEM-SENSITIVE MACHINE LEARNING MODEL SELECTION AND OUTPUT GENERATION AND SYSTEMS AND METHODS OF THE SAME

IDENTIFYING AND ANALYZING ACTIONS FROM VECTOR REPRESENTATIONS OF ALPHANUMERIC CHARACTERS USING A LARGE LANGUAGE MODEL

IDENTIFYING AND ANALYZING ACTIONS FROM VECTOR REPRESENTATIONS OF ALPHANUMERIC CHARACTERS USING A LARGE LANGUAGE MODEL

PROMPT REFINEMENT TO IMPROVE ACCURACY OF OUTPUTS FROM MACHINE LEARNING MODELS

DYNAMIC EVALUATION OF LANGUAGE MODEL PROMPTS FOR MODEL SELECTION AND OUTPUT VALIDATION AND METHODS AND SYSTEMS OF THE SAME

DYNAMIC INPUT-SENSITIVE VALIDATION OF MACHINE LEARNING MODEL OUTPUTS AND METHODS AND SYSTEMS OF THE SAME

MANAGING OPERATIONAL RESILIENCE OF SYSTEM ASSETS USING AN ARTIFICIAL INTELLIGENCE MODEL

ANOMALY DETECTION METHOD FOR MODEL OUTPUTS

DYNAMIC MULTI-MODEL MONITORING AND VALIDATION FOR ARTIFICIAL INTELLIGENCE MODELS

Identifying and remediating gaps in artificial intelligence use cases using a generative artificial intelligence model

Querying data using specialized and generalized artificial intelligence models

Latency-, accuracy-, and privacy-sensitive tuning of artificial intelligence model selection parameters and systems and methods of the same

Dynamic multi-model monitoring and validation for artificial intelligence models

Mapping identified gaps in controls to operative standards using a generative artificial intelligence model

Identifying and analyzing actions from vector representations of alphanumeric characters using a large language model

Dynamic evaluation of language model prompts for model selection and output validation and methods and systems of the same

Dynamic input-sensitive validation of machine learning model outputs and methods and systems of the same

Dynamic, resource-sensitive model selection and output generation and methods and systems of the same