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2. Natural language processing - Wikipedia

   en.wikipedia.org/wiki/Natural_language_processing

   Natural language processing ( NLP) is an interdisciplinary subfield of computer science and information retrieval. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or ...

3. Neuro-linguistic programming - Wikipedia

   en.wikipedia.org/wiki/Neuro-linguistic_programming

   NLP. Neuro-linguistic programming ( NLP) is a pseudoscientific approach to communication, personal development and psychotherapy, that first appeared in Richard Bandler and John Grinder 's 1975 book The Structure of Magic I. NLP asserts that there is a connection between neurological processes, language and acquired behavioral patterns, and ...

4. Methods of neuro-linguistic programming - Wikipedia

   en.wikipedia.org/wiki/Methods_of_neuro...

   The methods of neuro-linguistic programming are the specific techniques used to perform and teach neuro-linguistic programming, [1] [2] which teaches that people are only able to directly perceive a small part of the world using their conscious awareness, and that this view of the world is filtered by experience, beliefs, values, assumptions ...

5. Association for Computational Linguistics - Wikipedia

   en.wikipedia.org/wiki/Association_for...

   The Association for Computational Linguistics ( ACL) is a scientific and professional organization for people working on natural language processing. [1] Its namesake conference is one of the primary high impact conferences for natural language processing research, along with EMNLP. [2] [3] The conference is held each summer in locations where ...

6. Prompt engineering - Wikipedia

   en.wikipedia.org/wiki/Prompt_engineering

   Prompt engineering is enabled by in-context learning, defined as a model's ability to temporarily learn from prompts. The ability for in-context learning is an emergent ability [14] of large language models. In-context learning itself is an emergent property of model scale, meaning breaks [15] in downstream scaling laws occur such that its ...

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9. Empowerment (artificial intelligence) - Wikipedia

   en.wikipedia.org/wiki/Empowerment_(artificial...

   Empowerment in the field of artificial intelligence formalises and quantifies (via information theory) the potential an agent perceives that it has to influence its environment. [1] [2] An agent which follows an empowerment maximising policy, acts to maximise future options (typically up to some limited horizon).