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2. 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.

3. GPT-3 - Wikipedia

   en.wikipedia.org/wiki/GPT-3

   The first GPT model was known as "GPT-1," and it was followed by "GPT-2" in February 2019. Created as a direct scale-up of its predecessor, GPT-2 had both its parameter count and dataset size increased by a factor of 10. It had 1.5 billion parameters, and was trained on a dataset of 8 million web pages. [9]

4. GPT-1 - Wikipedia

   en.wikipedia.org/wiki/GPT-1

   GPT-1 achieved a 5.8% and 1.5% improvement over previous best results [3] on natural language inference (also known as textual entailment) tasks, evaluating the ability to interpret pairs of sentences from various datasets and classify the relationship between them as "entailment", "contradiction" or "neutral". [3]

5. GPTZero - Wikipedia

   en.wikipedia.org/wiki/GPTZero

   GPTZero uses qualities it terms perplexity and burstiness to attempt determining if a passage was written by a AI. [12] According to the company, perplexity is how random the text in the sentence is, and whether the way the sentence is constructed is unusual or "surprising" for the application.

6. Sam Altman - Wikipedia

   en.wikipedia.org/wiki/Sam_Altman

   In March 2012, after Loopt failed to gain traction with enough users, the company was acquired by the Green Dot Corporation for $43.4 million. [19] The following month, Altman co-founded Hydrazine Capital with his brother, Jack Altman, [20] [21] which is still in operation. [22]

7. GPT-2 - Wikipedia

   en.wikipedia.org/wiki/GPT-2

   GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]