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2. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Artificial general intelligence – Human-level or stronger AI for a wide range of tasks. Artificial imagination – Artificial simulation of human imagination. Artificial intelligence art – Machine application of knowledge of human aesthetic expressions. Artificial life – Field of study.

3. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   e. Sora is an upcoming generative artificial intelligence model developed by OpenAI, that specializes in text-to-video generation. The model generates short video clips corresponding to prompts from users. Sora can also extend existing short videos. As of August 2024 it is unreleased and not yet available to the public.

4. 15.ai - Wikipedia

   en.wikipedia.org/wiki/15.ai

   15.ai is a non-commercial freeware artificial intelligence web application that generates natural emotive high-fidelity [a] text-to-speech voices from an assortment of fictional characters from a variety of media sources.

5. Google DeepMind - Wikipedia

   en.wikipedia.org/wiki/Google_DeepMind

   Google DeepMind Technologies Limited is a British-American artificial intelligence research laboratory which serves as a subsidiary of Google. Founded in the UK in 2010, it was acquired by Google in 2014 [ 6] and merged with Google AI 's Google Brain division to become Google DeepMind in April 2023. The company is based in London, with research ...

6. LaMDA - Wikipedia

   en.wikipedia.org/wiki/LaMDA

   LaMDA ( Language Model for Dialogue Applications) is a family of conversational large language models developed by Google. Originally developed and introduced as Meena in 2020, the first-generation LaMDA was announced during the 2021 Google I/O keynote, while the second generation was announced the following year.

7. BERT (language model) - Wikipedia

   en.wikipedia.org/wiki/BERT_(language_model)

   Apache 2.0. Website. arxiv .org /abs /1810 .04805. Bidirectional Encoder Representations from Transformers ( BERT) is a language model introduced in October 2018 by researchers at Google. [ 1][ 2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture.