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OpenAI Codex is an artificial intelligence model that parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool, and is based on OpenAI's GPT-3 model, fine-tuned for use in programming applications.
A black box is a system that can be described by its inputs and outputs, without knowing its internal workings. Learn about the origin, methods and examples of black box theory in science, computing and engineering.
Tabnine is an Israeli company that develops an AI coding assistant that helps developers with code generation, testing, fixing, documentation, and explanation. Founded in 2013 as Codota, it rebranded in 2021 and has over one million users and 10 million installations across various IDEs.
Fuzzing or fuzz testing is a method of providing invalid, unexpected, or random data as inputs to a program to find bugs or security vulnerabilities. Learn about the history, types, and applications of fuzzing, as well as some examples of fuzzers and their discoveries.
Derivative-free optimization (sometimes referred to as blackbox optimization) is a discipline in mathematical optimization that does not use derivative information in the classical sense to find optimal solutions: Sometimes information about the derivative of the objective function f is unavailable, unreliable or impractical to obtain.
Bayesian optimization of a function (black) with Gaussian processes (purple). Three acquisition functions (blue) are shown at the bottom. [8]Bayesian optimization is typically used on problems of the form (), where is a set of points, , which rely upon less (or equal to) than 20 dimensions (,), and whose membership can easily be evaluated.
Black-box testing is a method of software testing that examines the functionality of an application without peering into its internal structures or workings. It is based on specifications, requirements and design parameters, and uses various test design techniques and test coverage measures.
Learn about the attacks and defenses on machine learning algorithms, and how they can be exploited or protected. See examples of adversarial examples, taxonomy of attacks, and applications in spam filtering, computer security, biometric recognition, and more.