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2. List of concept- and mind-mapping software - Wikipedia

   en.wikipedia.org/wiki/List_of_concept-_and_mind...

   Concept mapping and mind mapping software is used to create diagrams of relationships between concepts, ideas, or other pieces of information. It has been suggested that the mind mapping technique can improve learning and study efficiency up to 15% over conventional note-taking. [1]

3. PlantUML - Wikipedia

   en.wikipedia.org/wiki/PlantUML

   PlantUML is an open-source tool allowing users to create diagrams from a plain text language. Besides various UML diagrams, PlantUML has support for various other software development related formats (such as Archimate, Block diagram, BPMN, C4, Computer network diagram, ERD, Gantt chart, Mind map, and WBD), as well as visualisation of JSON and YAML files.

4. Function model - Wikipedia

   en.wikipedia.org/wiki/Function_model

   The functional flow block diagram (FFBD) is a multi-tier, time-sequenced, step-by-step flow diagram of the system's functional flow. [14] The diagram is developed in the 1950s and widely used in classical systems engineering. The functional flow block diagram is also referred to as Functional Flow Diagram, functional block diagram, and ...

5. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [73] Google Photos, [74] and the Adobe Suite (Adobe Firefly). [75] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [76] language model.

6. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   Block diagram for the full Transformer architecture. Schematic object hierarchy for the full Transformer architecture, in object-oriented programming style. The final points of detail are the residual connections and layer normalization (LayerNorm, or LN), which while conceptually unnecessary, are necessary for numerical stability and convergence.

7. Attention (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Attention_(machine_learning)

   Encoder self-attention, block diagram Encoder self-attention, detailed diagram. Self-attention is essentially the same as cross-attention, except that query, key, and value vectors all come from the same model. Both encoder and decoder can use self-attention, but with subtle differences.