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240103 ||| eng |
| 020 |
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|a 9781098165895
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| 050 |
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4 |
|a QA76.76.C52
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| 100 |
1 |
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|a Loukides, Michael Kosta
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| 245 |
0 |
0 |
|a Ask ChatGPT to think step-by-step with zero-shot learning
|c Mike Loukides
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| 250 |
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|a [First edition]
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| 260 |
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|a [Sebastopol, California]
|b O'Reilly Media, Inc.
|c 2023
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| 300 |
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|a 5 pages
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| 653 |
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|a Computer engineering / http://id.loc.gov/authorities/subjects/sh85029495
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| 653 |
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|a Coding theory / http://id.loc.gov/authorities/subjects/sh85027654
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| 653 |
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|a Artificial intelligence / http://id.loc.gov/authorities/subjects/sh85008180
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| 653 |
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|a ChatGPT. / http://id.loc.gov/authorities/names/n2023013228
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| 653 |
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|a Computer engineering / fast / (OCoLC)fst00872078
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| 653 |
|
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|a Ordinateurs / Conception et construction
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| 653 |
|
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|a Programmation (Informatique)
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| 653 |
|
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|a Intelligence artificielle
|
| 653 |
|
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|a Computer programming / http://id.loc.gov/authorities/subjects/sh85107310
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| 653 |
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|a Artificial intelligence / fast / (OCoLC)fst00817247
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| 653 |
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|a artificial intelligence / aat
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| 653 |
|
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|a Chatbots / fast / (OCoLC)fst02070073
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| 653 |
|
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|a Chatbots / http://id.loc.gov/authorities/subjects/sh2022007792
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| 653 |
|
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|a Computer programming / fast / (OCoLC)fst00872390
|
| 653 |
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|a computer programming / aat
|
| 653 |
|
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|a Coding theory / fast / (OCoLC)fst00866237
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 490 |
0 |
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|a Shortcuts
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| 776 |
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|z 9781098165895
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| 776 |
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|z 1098165896
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781098165895/?ar
|x Verlag
|3 Volltext
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|a 006.35
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| 082 |
0 |
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|a 620
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| 520 |
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|a ChatGPT Shortcuts shows future prompt engineers how to harness the full potential of the state-of-the-art AI model through practical tips, real-world examples, and expert guidance. The shortcuts in this collection help users leverage ChatGPT and all of its latest features as a dynamic AI tool for writing, generating art, coding, and app development. For those looking to take their ChatGPT skills to the next level, these shortcuts teach the techniques and strategies of prompt engineering that have been fine-tuned by others and push this powerful AI model to produce the best results with the least amount of effort
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