LEADER 04003cim a22004817i 4500001    17005893
005    20240227161522.0
006    m     o  h        
007    sz zunnnnnuneu
007    cr nnannnuuuuu
008    240130s2024    xx nnnn o      z  n eng d
035    (OCoLC)on1419417065
040    OCLKB |beng |epn |cOCLKB |dORMDA |dOCLCO
037    0790145726605 |bO'Reilly Media
050  4 Q335
245 00 Generative AI in the real world : |bChip Huyen on finding business use cases for generative AI.
246 3  Generative artificial intelligance in the real world
264  1 [Place of publication not identified] : |bO'Reilly Media, Inc. |c2024
300    1 online resource (1 audio file).
336    spoken word |bspw |2rdacontent
337    computer |bc |2rdamedia
338    online resource |bcr |2rdacarrier
344    digital |2rdatr
347    audio file |2rdaft
506    Access restricted by licensing agreement.
511 0  Ben Lorica, interviewer; Chip Huyen, interviewee.
520    O'Reilly's Generative AI in the Enterprise survey reported that people have trouble coming up with appropriate enterprise use cases for AI. Why is it hard to come up with appropriate use cases? Chip Huyen, cofounder of Claypot AI and author of Designing Machine Learning Systems, talks about why many companies have trouble coming up with appropriate use cases for AI, how to evaluate possible use cases, and the skills your company will need to put them into practice. About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyone's agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise. Points of Interest 0:00: Introduction 0:49: O'Reilly's Generative AI in the Enterprise survey report results. 3:02: Now that generative AI is more accessible, will it be easier to come up with use cases? 4:29: AI is easy to demo but hard to productize. Consistence, risk, and compliance. 6:44: Is there a framework or checklist for thinking about applications? 8:15: What are some of your favorite use cases? 13:30: RAG is the "hello, world" of AI applications. 17:24: How do you navigate between the desires and requirements of different stakeholders? 19:00: When talking to stakeholders, you have to answer questions at the right level. 21:10: How to think about staffing teams for generative AI. 22:45: There's less model development with generative AI, more application development. 23:12: Frontend engineers and full-stack developers are very successful. 26:27: What are companies' concerns about risk? 27:27: Understanding data gives a lot of clues about what it is good at and should be used for. 29:00: The importance of documentation. 30:25: Are there specific things you can do to ease the integration of AI into an organization? 32:49: What companies that have deployed AI into products stand out?.
588    Online resource; title from title details screen (O'Reilly, viewed February 05, 2024).
590    Access is available to the Yale community.
650  0 Artificial intelligence. |0http://id.loc.gov/authorities/subjects/sh85008180
650  7 artificial intelligence. |2aat
655  7 Audiobooks. |2lcgft |0http://id.loc.gov/authorities/genreForms/gf2011026063
700 1  Lorica, Ben, |einterviewer.
700 1  Huyen, Chip, |einterviewee. |0http://id.loc.gov/authorities/names/nb2022009420
730 0  O'Reilly Safari. |gOCLC KB.
852 80  |byulint |hNone |zOnline resource
852 80  |zOnline resource
856 40  |yStreaming audio |uhttps://go.oreilly.com/yale-university/library/view/-/0790145726605/?ar
901    Q335
902    Yale Internet Resource |bYale Internet Resource >>  None|DELIM|16885603
905    online resource
907    2024-02-27T16:15:22.000Z
946    DO NOT EDIT. DO NOT EXPORT.