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| Other Authors: | , , , , , , , , , , |
|---|---|
| Format: | Electronic Video |
| Language: | English |
| Published: |
[Sebastopol, California]
O'Reilly Media, Inc.
2024
|
| Edition: | [First edition]. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/0642572057336/?ar |
| Summary: | While large language models are groundbreaking tools for automating everyday text-based tasks such as text summarization, translation, and generation, we've also seen the emergence of more complex generative AI models that can process and output different types of data, such as images, audio, and even video. Multimodal AI models, such as GPT-4, are capable of working across different data formats, for example, to generate speech from text, text from images, or text from audio. By combining different modalities, multimodal AI can interact with humans in more natural, intuitive ways, mimicking how humans perceive and understand the world around them. The possibilities from processing inputs more holistically and providing more intuitive outputs are already nudging us closer to true artificial general intelligence. |
| Item Description: | Online resource; title from title details screen (O'Reilly, viewed October 1, 2024) |
| Physical Description: | 1 online resource (1 video file (4 hr., 11 min.)) sound, color. |
Staff View
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Record in the Search Index
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| author2 | Chang, Susan Shu Gandhi, Rikin Pai, Suhas Alam, Nahid Susevski, Anthony Betlen, Andrei Iyer, Shekhar Gao, Jingying Barth, Antje Aldughayem, Omar Fregly, Chris |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| edition | [First edition]. |
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| spelling | AI superstream multimodal generative AI Susan Shu Chang, Rikin Gandhi, Suhas Pai, Nahid Alam, Anthony Susevski, Andrei Betlen, Shekhar Iyer, Jingying Gao, Antje Barth, Omar Aldughayem, Chris Fregly [First edition]. [Sebastopol, California] O'Reilly Media, Inc. 2024 1 online resource (1 video file (4 hr., 11 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed October 1, 2024) While large language models are groundbreaking tools for automating everyday text-based tasks such as text summarization, translation, and generation, we've also seen the emergence of more complex generative AI models that can process and output different types of data, such as images, audio, and even video. Multimodal AI models, such as GPT-4, are capable of working across different data formats, for example, to generate speech from text, text from images, or text from audio. By combining different modalities, multimodal AI can interact with humans in more natural, intuitive ways, mimicking how humans perceive and understand the world around them. The possibilities from processing inputs more holistically and providing more intuitive outputs are already nudging us closer to true artificial general intelligence. Artificial intelligence Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Chang, Susan Shu RednerIn spk Gandhi, Rikin RednerIn spk Pai, Suhas RednerIn spk Alam, Nahid RednerIn spk Susevski, Anthony RednerIn spk Betlen, Andrei RednerIn spk Iyer, Shekhar RednerIn spk Gao, Jingying RednerIn spk Barth, Antje RednerIn spk Aldughayem, Omar RednerIn spk Fregly, Chris RednerIn spk O'Reilly (Firm), Verlag pbl |
| spellingShingle | AI superstream multimodal generative AI Artificial intelligence Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| title | AI superstream multimodal generative AI |
| title_auth | AI superstream multimodal generative AI |
| title_exact_search | AI superstream multimodal generative AI |
| title_full | AI superstream multimodal generative AI Susan Shu Chang, Rikin Gandhi, Suhas Pai, Nahid Alam, Anthony Susevski, Andrei Betlen, Shekhar Iyer, Jingying Gao, Antje Barth, Omar Aldughayem, Chris Fregly |
| title_fullStr | AI superstream multimodal generative AI Susan Shu Chang, Rikin Gandhi, Suhas Pai, Nahid Alam, Anthony Susevski, Andrei Betlen, Shekhar Iyer, Jingying Gao, Antje Barth, Omar Aldughayem, Chris Fregly |
| title_full_unstemmed | AI superstream multimodal generative AI Susan Shu Chang, Rikin Gandhi, Suhas Pai, Nahid Alam, Anthony Susevski, Andrei Betlen, Shekhar Iyer, Jingying Gao, Antje Barth, Omar Aldughayem, Chris Fregly |
| title_short | AI superstream |
| title_sort | ai superstream multimodal generative ai |
| title_sub | multimodal generative AI |
| topic | Artificial intelligence Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| topic_facet | Artificial intelligence Intelligence artificielle artificial intelligence Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
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