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2. Neuro-linguistic programming - Wikipedia

   en.wikipedia.org/wiki/Neuro-linguistic_programming

   t. e. 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 ...

3. 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 ...

4. Natural-language understanding - Wikipedia

   en.wikipedia.org/wiki/Natural-language_understanding

   Natural-language understanding. Natural-language understanding ( NLU) or natural-language interpretation ( NLI) [1] is a subset of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem. [2]

5. Talk : Neuro-linguistic programming/List of users of NLP

   en.wikipedia.org/.../List_of_users_of_NLP

   The State of Georgia's Public Safety Training Center runs two courses on NLP, stating that its methods are "field proven": Course L07A05031 is an "advanced level course of the latest techniques in determining truth or deception, and in the case of deception, obtaining a legal confession.

6. Natural Language Toolkit - Wikipedia

   en.wikipedia.org/wiki/Natural_Language_Toolkit

   The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [4]

7. GPT-3 - Wikipedia

   en.wikipedia.org/wiki/GPT-3

   GPT-3's capacity is ten times larger than that of Microsoft's Turing NLG, the next largest NLP model known at the time. Lambdalabs estimated a hypothetical cost of around $4.6 million US dollars and 355 years to train GPT-3 on a single GPU in 2020, with lower actual training time by using more GPUs in parallel.