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

   en.wikipedia.org/.../List_of_users_of_NLP

   The Neuro-Linguistic Programming (NLP) perspective is also advocated as it deals efficiently with affective and emotional factors related to learning pronunciation and facilitates an accurate production of L2 [second language] sounds through such techniques as relaxation, suggestion, visualisation and others."

3. Transformer (deep learning architecture) - Wikipedia

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

   A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention Is All You Need". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1]

4. Genie Z. Laborde - Wikipedia

   en.wikipedia.org/wiki/Genie_Z._Laborde

   Genie Zylks Laborde (February 19, 1928 – January 14, 2023) was an American author, educator, video producer, and artist. She was the founder and CEO of International Dialogue Education Associates, Inc., a business seminar company based in Palo Alto, California. Laborde authored several business communication and negotiation books and designed ...

5. Perplexity.ai - Wikipedia

   en.wikipedia.org/wiki/Perplexity.ai

   Website. www .perplexity .ai. Perplexity AI is an AI-chatbot-powered research and conversational search engine that answers queries using natural language predictive text. [2] [3] Launched in 2022, Perplexity generates answers using the sources from the web and cites links within the text response. [4] Perplexity works on a freemium model; the ...

6. Representational systems (NLP) - Wikipedia

   en.wikipedia.org/wiki/Representational_systems_(NLP)

   Representational systems (NLP) Representational systems (also abbreviated to VAKOG [1]) is a postulated model from neuro-linguistic programming, [2] a collection of models and methods regarding how the human mind processes and stores information. The central idea of this model is that experience is represented in the mind in sensorial terms, i ...

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.