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  2. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    There are three methods in which user-accessible fine-tuning can be applied to a Stable Diffusion model checkpoint: An "embedding" can be trained from a collection of user-provided images, and allows the model to generate visually similar images whenever the name of the embedding is used within a generation prompt. [45]

  3. Application checkpointing - Wikipedia

    en.wikipedia.org/wiki/Application_checkpointing

    Thus the "checkpoint/restart" capability was born, in which after a number of transactions had been processed, a "snapshot" or "checkpoint" of the state of the application could be taken. If the application failed before the next checkpoint, it could be restarted by giving it the checkpoint information and the last place in the transaction file ...

  4. Diffusion model - Wikipedia

    en.wikipedia.org/wiki/Diffusion_model

    Stable Diffusion, for example, imposes conditioning in the form of cross-attention mechanism, where the query is an intermediate representation of the image in the U-Net, and both key and value are the conditioning vectors. The conditioning can be selectively applied to only parts of an image, and new kinds of conditionings can be finetuned ...

  5. Phase-gate process - Wikipedia

    en.wikipedia.org/wiki/Phase-gate_process

    A phase-gate process (also referred to as a waterfall process) is a project management technique in which an initiative or project (e.g., new product development, software development, process improvement, business change) is divided into distinct stages or phases, separated by decision points (known as gates).

  6. Diffusion process - Wikipedia

    en.wikipedia.org/wiki/Diffusion_process

    A sample path of a diffusion process models the trajectory of a particle embedded in a flowing fluid and subjected to random displacements due to collisions with other particles, which is called Brownian motion.

  7. Stability (learning theory) - Wikipedia

    en.wikipedia.org/wiki/Stability_(learning_theory)

    A stable learning algorithm is one for which the prediction does not change much when the training data is modified slightly. For instance, consider a machine learning algorithm that is being trained to recognize handwritten letters of the alphabet, using 1000 examples of handwritten letters and their labels ("A" to "Z") as a training set. One ...

  8. Diffusion of innovations - Wikipedia

    en.wikipedia.org/wiki/Diffusion_of_innovations

    The diffusion of an innovation typically follows an S-shaped curve which often resembles a logistic function. Roger's diffusion model concludes that the popularity of a new product will grow with time to a saturation level and then decline, but it cannot predict how much time it will take and what the saturation level will be.

  9. Straw man proposal - Wikipedia

    en.wikipedia.org/wiki/Straw_man_proposal

    A straw-man (or straw-dog or straw-person) proposal is a brainstormed simple draft proposal intended to generate discussion of its disadvantages and to spur the generation of new and better proposals. [1] The term is considered American business jargon, [2] but it is also encountered in engineering office culture.