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  2. Add or disable 2-step verification for extra security - AOL Help

    help.aol.com/articles/2-step-verification...

    6. Scan the QR code using your authenticator app. 7. Click Continue. 8. Enter the code shown in your authenticator app. 9. Click Done. Sign in with 2-step for authenticator app. 1. Sign in to your AOL account with your password. 2. Enter the verification code shown in your authenticator app. 3. Click Verify.

  3. 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 ...

  4. Code generation - Wikipedia

    en.wikipedia.org/wiki/Code_generation

    In computing, code generation denotes software techniques or systems that generate program code which may then be used independently of the generator system in a runtime environment. Specific articles: Code generation (compiler), a mechanism to produce the executable form of computer programs, such as machine code, in some automatic manner

  5. Music and artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Music_and_artificial...

    Music and artificial intelligence (AI) is the development of music software programs which use AI to generate music. [1] As with applications in other fields, AI in music also simulates mental tasks.

  6. Hamming code - Wikipedia

    en.wikipedia.org/wiki/Hamming_code

    Hence the rate of Hamming codes is R = k / n = 1 − r / (2 r − 1), which is the highest possible for codes with minimum distance of three (i.e., the minimal number of bit changes needed to go from any code word to any other code word is three) and block length 2 r − 1.

  7. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval augmented generation (RAG) is a type of generative artificial intelligence that has information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information in preference to information drawn from its own vast, static training data.

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