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In the process of encoding, the sender (i.e. encoder) uses verbal (e.g. words, signs, images, video) and non-verbal (e.g. body language, hand gestures, face expressions) symbols for which he or she believes the receiver (that is, the decoder) will understand.
The communication skills required for successful communication are different for source and receiver. For the source, this includes the ability to express oneself or to encode the message in an accessible way. [8] Communication starts with a specific purpose and encoding skills are necessary to express this purpose in the form of a message.
Proponents of project-based learning cite numerous benefits to the implementation of its strategies in the classroom – including a greater depth of understanding of concepts, a broader knowledge base, improved communication, and interpersonal/social skills, enhanced leadership skills, increased creativity, and improved writing skills.
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.
The words are selected based on their meaning, which in linguistics is called semantic information. Lexical selection activates the word's lemma, which contains both semantic and grammatical information about the word. [6] This grammatical information is then used in the next step of language production, grammatical encoding. [7]
[4] [5] Later, Wilbur Schramm introduced a model that identified multiple variables in communication which includes the transmitter, encoding, media, decoding, and receiver. [ 6 ] In Berlo's SMCR model, the sender is one who sends the message, the receiver receives the message, which is transmitted through the channel where disturbances might ...
However, written language may take on characteristics distinct from those of any spoken language. Writing is a cognitive and social activity involving neuropsychological and physical processes . The outcome of this activity, also called "writing", and sometimes a " text ", is a series of physically inscribed , mechanically transferred , or ...
Large language models (LLMs) are also efficient lossless data compressors on some data sets, as demonstrated by DeepMind's research with the Chinchilla 70B model. Developed by DeepMind, Chinchilla 70B effectively compressed data, outperforming conventional methods such as Portable Network Graphics (PNG) for images and Free Lossless Audio Codec ...