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2. Transformer (deep learning architecture) - Wikipedia

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

   For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

3. List of Unified Modeling Language tools - Wikipedia

   en.wikipedia.org/wiki/List_of_Unified_Modeling...

   Includes glossary, data dictionary, and issue tracking. Supports use case diagrams, auto-generated flow diagrams, screen mock-ups, and free-form diagrams. clang-uml: Un­known Un­known Un­known Un­known No C++ PlantUML, Mermaid.js Generate PlantUML and Mermaild.js diagrams from existing C++ codebase. Dia: Partly No No No

4. Sequence diagram - Wikipedia

   en.wikipedia.org/wiki/Sequence_diagram

   The diagram emphasizes events that cross the system boundary from actors to systems. A system sequence diagram should be done for the main success scenario of the use case, and frequent or complex alternative scenarios. There are two kinds of sequence diagrams: Sequence Diagram (SD): A regular version of sequence diagram describes how the ...

5. Neural machine translation - Wikipedia

   en.wikipedia.org/wiki/Neural_machine_translation

   Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

6. Seq2seq - Wikipedia

   en.wikipedia.org/wiki/Seq2seq

   Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise). seq2seq is an approach to machine translation (or more generally, sequence transduction) with roots in information theory, where communication is understood as an encode-transmit-decode process, and machine translation can be studied as a ...

7. Generative artificial intelligence - Wikipedia

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

   The intersection of AI and employment concerns among underrepresented groups globally remains a critical facet. While AI promises efficiency enhancements and skill acquisition, concerns about job displacement and biased recruiting processes persist among these groups, as outlined in surveys by Fast Company. To leverage AI for a more equitable ...

8. Automated planning and scheduling - Wikipedia

   en.wikipedia.org/wiki/Automated_planning_and...

   Given a description of the possible initial states of the world, a description of the desired goals, and a description of a set of possible actions, the planning problem is to synthesize a plan that is guaranteed (when applied to any of the initial states) to generate a state which contains the desired goals (such a state is called a goal state).

9. Mamba (deep learning architecture) - Wikipedia

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

   Mamba [a] is a deep learning architecture focused on sequence modeling. It was developed by researchers from Carnegie Mellon University and Princeton University to address some limitations of transformer models, especially in processing long sequences. It is based on the Structured State Space sequence (S4) model. [2] [3] [4]