private grid
A private grid is an electrical network built or operated for a particular site or group of customers, rather than as the ordinary public grid service.
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Clear filtersA private grid is an electrical network built or operated for a particular site or group of customers, rather than as the ordinary public grid service.
Privilege escalation is the acquisition of permissions or administrative access beyond what a user, process, or agent was originally granted.
Probabilistic language modeling assigns probabilities to token sequences so a model can predict likely continuations and generate language from a context.
Probability theory is the mathematical framework for representing uncertainty, combining evidence, and reasoning about the likelihood of possible events or outcomes.
Problem framing with AI is the human-led process of defining the real goal, constraints, evidence and success criteria before using a model to explore solutions.
Procedural memory stores reusable knowledge about how an AI agent should perform tools, steps, and recurring processes.
Process mapping describes a workflow's desired outcome, constraints, inputs and responsibilities so it can be understood and improved.
Process persistence is the ability of software to remain active or restore itself after interruption, termination, or movement between systems.
Product differentiation creates a meaningful reason for a specific customer to choose one product over its alternatives.
Product discovery investigates which user problems are worth solving and which product approach is likely to create meaningful value.
Product prototyping creates a limited working representation of an idea so people can test assumptions before committing to a full product.
AI production readiness is the evidence that an AI system can operate reliably, securely and supportably under real workload conditions.
Production software is a maintained system trusted for real work and designed for the reliability, security, and support its users require.
AI prompt evaluation tests how reliably prompts produce acceptable outputs across models, inputs and operating conditions.
Prompt injection is an attack that places malicious or conflicting instructions in an AI system's input so the model ignores intended rules or performs an unauthorized action.
Prompt iteration is the process of revising or adding prompts to improve an AI system's output over multiple attempts.
Prompt privacy protects the instructions, questions, context, and uploaded content people provide to AI systems from unnecessary access or reuse.
AI prompt sensitivity is the degree to which small changes in instructions or context alter a model's output or performance.
Prompt-to-application generation uses a natural-language description to create a functioning software application, including its interface and supporting services.
A proof assistant is software for writing formal definitions and proofs while mechanically checking that each proof follows the rules of a logical system.