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2. Text-to-image model - Wikipedia

   en.wikipedia.org/wiki/Text-to-image_model

   An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige", generated by Stable Diffusion, a large-scale text-to-image model released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

3. Dual code - Wikipedia

   en.wikipedia.org/wiki/Dual_code

   Type II codes are binary self-dual codes which are doubly even. Type III codes are ternary self-dual codes. Every codeword in a Type III code has Hamming weight divisible by 3. Type IV codes are self-dual codes over F 4. These are again even. Codes of types I, II, III, or IV exist only if the length n is a multiple of 2, 8, 4, or 2 respectively.

4. Generative adversarial network - Wikipedia

   en.wikipedia.org/wiki/Generative_adversarial_network

   An illustration of how a GAN works. A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [1] [2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [3]

5. Holland Codes - Wikipedia

   en.wikipedia.org/wiki/Holland_Codes

   The Holland Codes or the Holland Occupational Themes (RIASEC [1]) refers to a taxonomy of interests [2] based on a theory of careers and vocational choice that was initially developed by American psychologist John L. Holland.

6. Tabnine - Wikipedia

   en.wikipedia.org/wiki/Tabnine

   Tabnine is an artificial intelligence (AI) coding assistant developed by Tabnine, which was founded by Dror Weiss and Professor Eran Yahav in Tel Aviv, Israel, in 2013. [1] [2] [3] Initially established under the name Codota, the company underwent a rebranding in May 2021 following the release of the company’s first large language model based AI coding assistant, adopting the name Tabnine.

7. Code generation (compiler) - Wikipedia

   en.wikipedia.org/wiki/Code_generation_(compiler)

   When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite state machine is often generated instead of a deterministic one, because usually the former can be created more ...