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  2. OpenAI launches free AI training course for teachers - AOL

    www.aol.com/news/openai-launches-free-ai...

    OpenAI and non-profit partner Common Sense Media have launched a free training course for teachers aimed at demystifying artificial intelligence and prompt engineering, the organizations said on ...

  3. I work at Microsoft and teach a Stanford Online course on AI ...

    www.aol.com/news/microsoft-teach-stanford-online...

    This as-told-to essay is based on a conversation with Aditya Challapally, a 30-year-old Microsoft employee who teaches a course for Stanford Online about generative AI. This story has been edited ...

  4. Generative artificial intelligence - Wikipedia

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

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  5. fast.ai - Wikipedia

    en.wikipedia.org/wiki/Fast.ai

    In 2018, students of fast.ai participated in the Stanford’s DAWNBench challenge alongside big tech companies such as Google and Intel.While Google could obtain an edge in some challenges due to its highly specialized TPU chips, the CIFAR-10 challenge was won by the fast.ai students, programming the fastest and cheapest algorithms.

  6. IBM Watsonx - Wikipedia

    en.wikipedia.org/wiki/IBM_Watsonx

    Watsonx.ai is a platform that allows AI developers to leverage a wide range of LLMs under IBM's own Granite series and others such as Facebook's LLaMA-2, free and open-source model Mistral and many others present in Hugging Face community for a diverse set of AI development tasks.

  7. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [ 1 ]

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