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2. Data entry clerk - Wikipedia

   en.wikipedia.org/wiki/Data_entry_clerk

   A data entry clerk. A data entry clerk, also known as data preparation and control operator, data registration and control operator, and data preparation and registration operator, is a member of staff employed to enter or update data into a computer system. [1][2] Data is often entered into a computer from paper documents [3] using a keyboard. [4]

3. Encryption - Wikipedia

   en.wikipedia.org/wiki/Encryption

   Encryption. In cryptography, encryption is the process of transforming (more specifically, encoding) information in a way that, ideally, only authorized parties can decode. This process converts the original representation of the information, known as plaintext, into an alternative form known as ciphertext. Despite its goal, encryption does not ...

4. Transformer (deep learning architecture) - Wikipedia

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

   Machine learningand data mining. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on ...

5. Autoencoder - Wikipedia

   en.wikipedia.org/wiki/Autoencoder

   v. t. e. An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning). An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.

6. T5 (language model) - Wikipedia

   en.wikipedia.org/wiki/T5_(language_model)

   T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1][2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text. T5 models are usually pretrained on a massive ...

7. Variational autoencoder - Wikipedia

   en.wikipedia.org/wiki/Variational_autoencoder

   List of datasets in computer vision and image processing. v. t. e. In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling. [1] It is part of the families of probabilistic graphical models and variational Bayesian methods. [2]