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  2. AutoGPT - Wikipedia

    en.wikipedia.org/wiki/AutoGPT

    AutoGPT can be used to develop software applications from scratch. [5] ... Andrej Karpathy, co-founder of OpenAI which creates GPT-4, ...

  3. Andrej Karpathy - Wikipedia

    en.wikipedia.org/wiki/Andrej_Karpathy

    Andrej Karpathy (born 23 October 1986 [2]) is a Slovak-Canadian computer scientist who served as the director of artificial intelligence and Autopilot Vision at Tesla. He co-founded and formerly worked at OpenAI , [ 3 ] [ 4 ] [ 5 ] where he specialized in deep learning and computer vision .

  4. OpenAI researcher Andrej Karpathy departs firm - AOL

    www.aol.com/news/openai-researcher-andrej...

    Karpathy, who joined OpenAI in his second stint last year, was previously a senior director for AI at Tesla where he played a key role in developing the electric car maker's artificial ...

  5. 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]

  6. Former OpenAI, Tesla engineer Andrej Karpathy starts AI ... - AOL

    www.aol.com/news/former-openai-tesla-engineer...

    "Eureka Labs is the culmination of my passion in both AI and education over about 2 decades," Karpathy said in the post. Former OpenAI, Tesla engineer Andrej Karpathy starts AI education platform ...

  7. OpenAI co-founder John Schulman leaves ChatGPT maker for ...

    www.aol.com/news/openai-co-founder-john-schulman...

    Andrej Karpathy, who was also one of the AI firm's founding members left OpenAI in February and started an AI-integrated education platform in July. Tesla CEO Elon Musk, who was also one of the co ...

  8. GPT-1 - Wikipedia

    en.wikipedia.org/wiki/GPT-1

    The GPT-1 architecture was a twelve-layer decoder-only transformer, using twelve masked self-attention heads, with 64-dimensional states each (for a total of 768). Rather than simple stochastic gradient descent , the Adam optimization algorithm was used; the learning rate was increased linearly from zero over the first 2,000 updates to a ...

  9. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    The original paper said different numbers, but Andrej Karpathy, the former head of computer vision at Tesla, said it should be 227×227×3 (he said Alex didn't describe why he put 224×224×3). The next convolution should be 11×11 with stride 4: 55×55×96 (instead of 54×54×96).