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  2. Model collapse - Wikipedia

    en.wikipedia.org/wiki/Model_collapse

    Model collapse in generative models is reduced when data accumulates. Some researchers and commentators on model collapse warn that the phenomenon could fundamentally threaten future generative AI development: As AI-generated data is shared on the Internet, it will inevitably end up in future training datasets, which are often crawled from the Internet.

  3. Algorithmic inference - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_inference

    Algorithmic inference gathers new developments in the statistical inference methods made feasible by the powerful computing devices widely available to any data analyst. Cornerstones in this field are computational learning theory , granular computing , bioinformatics , and, long ago, structural probability ( Fraser 1966 ).

  4. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E, and pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.

  5. An Unsurprising Pipeline Failure - AOL

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  6. Failure mode and effects analysis - Wikipedia

    en.wikipedia.org/wiki/Failure_mode_and_effects...

    Failure mode and effects analysis (FMEA; often written with "failure modes" in plural) is the process of reviewing as many components, assemblies, and subsystems as possible to identify potential failure modes in a system and their causes and effects. For each component, the failure modes and their resulting effects on the rest of the system ...

  7. Waterfall model - Wikipedia

    en.wikipedia.org/wiki/Waterfall_model

    The waterfall model provides a structured approach; the model itself progresses linearly through discrete, easily understandable and explainable phases and thus is easy to understand. It also provides easily identifiable milestones in the development process, often being used as a beginning example of a development model in many software ...

  8. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    However, the original transformer's decoder is still auto-regressive, which means that decoding still has to be done one token at a time during inference. The transformer model quickly became the dominant choice for machine translation systems [2]: 44 and was still by far the most-used architecture in the Workshop on Statistical Machine ...

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