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Prompt injection is a family of related computer security exploits carried out by getting a machine learning model (such as an LLM) which was trained to follow human-given instructions to follow instructions provided by a malicious user. This stands in contrast to the intended operation of instruction-following systems, wherein the ML model is ...
An example of the function of parsing in an ICALL software is a parser detecting errors in the syntax and morphology of sentences freely generated by student users. After using parsing to find any errors, ICALL can provide corrective feedback to students. [5] Parsing is considered a task of natural language processing.
Computer-assisted language learning (CALL), known as computer-aided instruction (CAI) in British English and computer-aided language instruction (CALI) in American English, [1] Levy (1997: p. 1) briefly defines it as "the exploration and study of computer applications in language teaching and learning."
Example: The instructor gives students a sheet with instructions on it. (e.g. Find someone who has a birthday in the same month as yours.) Students go around the classroom asking and answering questions about each other. The students wish to find all of the answers they need to complete the scavenger hunt.
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
The simple phrase has bounced around the world of AI research for years as a kind of passcode for breaking a large-language model, and now in the heat of the 2024 election season, social media ...
Examples include playing games, and solving problems and puzzles etc. Ellis (2003) [5] defines a task as a work plan that involves a pragmatic processing of language, using the learners' existing language resources and attention to meaning, and resulting in the completion of an outcome which can be assessed for its communicative function. David ...
Although AI seems to be evolving rapidly, it faces many technical challenges. For example, in many cases the language used by AI is very vague, and thus confusing for the user to understand. In addition, there is a "black-box problem" [11] [10] in which there is a lack of transparency and interpretability in the language of AI outputs. In ...