Placeholder: [3d isometric view complemented by diagrams and technical blueprints] [3d isometric view complemented by diagrams and technical blueprints]

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@generalpha

Prompt

[3d isometric view complemented by diagrams and technical blueprints]

distorted image, malformed body, malformed fingers

6 months ago

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Model

SSD-1B

Guidance Scale

7

Dimensions

1024 × 1024

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a Detailed Model of diagrams and instructions for creating digital houses. A detailed isometric digital illustration. The central focus is a miniature, intricately detailed Miniature factory with tubes, ovens and chemical devices of all sorts, coloured fluids circulate in tubes
[mahematics] In the context of universal approximation, two approaches can achieve similar results but with different parameter requirements. The overall system comprises data, architecture, and a loss function, interconnected by a learning procedure. Responsibilities within the system include acknowledging noisy or biased data, addressing the need for a large number of parameters in the architecture, and overcoming the principal-agent problem in the choice of the loss function.
[view from above] a robot teacher in a classroom with a lot of different student robots. The main robot distribute work amongst smaller robots and computers in the factory. there is electricity in the air, the main robot coordinates other robots
Local and global approaches in mathematics and machine learning are both universal approximators, but they differ in the number of parameters required to represent a given function accurately. The entire system, including data, architecture, and loss function, must be considered, as they are interconnected. Data can be noisy or biased, architecture may demand excessive parameters, and the chosen loss function may not align with the desired goal. To address these challenges, practitioners should
In the context of universal approximation, two approaches can achieve similar results but with different parameter requirements. The overall system comprises data, architecture, and a loss function, interconnected by a learning procedure. Responsibilities within the system include acknowledging noisy or biased data, addressing the need for a large number of parameters in the architecture, and overcoming the principal-agent problem in the choice of the loss function. To resolve these challenges,
people from the industry thinking together in front of a complex blueprint with flowcharts
Data selection and cleaning are essential in reducing parameters in a model, especially in neural networks. Selection focuses on relevant and representative samples, reducing dataset size and mitigating overfitting. Cleaning removes noise and inconsistencies, improving data quality and model performance. By selecting informative data, we achieve similar or better results with fewer parameters. Cleaning further simplifies the problem space, reducing dimensionality and improving computational effi
[art by Wes Anderson, in the context of Data Curation and Artificial Intelligence] women and men from the industry thinking together in front of a complex blueprint with flowcharts, they are considering use cases. They are surrounded by cables and data storages
An original Chris Ware page from Acme Novelty Library #1, featuring “Jimmy Corrigan” in “Jimmy Gets Out of the House Part II” (Fantagraphics, 1993).
a Detailed Model of diagrams and instructions for creating digital houses. A detailed isometric digital illustration. The central focus is a miniature, intricately detailed Miniature mine of Dwarf in the Lord of the Rings, pikes, coal, gold, minerals, trolleys
a Detailed Model of diagrams and instructions for creating digital houses. A detailed isometric digital illustration. The central focus is a miniature, intricately detailed Miniature kitchen, include: Electric mixer, blender, food processor, slotted spoon and chef's knife, measuring cups, spatula, whisk, ladle, can opener, vegetable peeler, food pills and a flour, sugar, salt, spices, dried herbs, bouillon cubes, pots, pans, plates, bowls, and utensils, trussing poultry or tying bundles of herb
a robot teacher in a classroom with a lot of different student robots. The main robot distribute work amongst smaller robots and computers in the factory. there is electricity in the air, the main robot coordinates them
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