| 000 | 01243nam a2200349 i 4500 | ||
|---|---|---|---|
| 001 | 991001134065807456 | ||
| 008 | 250117s2024 caua f 001|0 eng|d | ||
| 020 | _a9781098153434 | ||
| 020 | _a109815343X | ||
| 035 | _a(StDuBDS)9781098153434 | ||
| 040 |
_aStDuBDS _beng _cStDuBDS _erda |
||
| 050 | 0 |
_aQA76.9.N38 _bP463 2024 |
|
| 072 | 7 |
_aCOM _2ukslc |
|
| 082 | 0 | 4 |
_a006.3'5 _223 |
| 100 | 1 |
_aPhoenix, James _c(Computer engineer), _eauthor. |
|
| 245 | 1 | 0 |
_aPrompt engineering for generative AI : _bfuture-proof inputs for reliable AI outputs at scale / _cJames Phoenix and Mike Taylor. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aSebastopol, CA : _bO'Reilly, _c2024. |
|
| 300 |
_axvii, 401 pages : _billustrations ; _c24 cm |
||
| 336 |
_atext _2rdacontent |
||
| 336 |
_astill image _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
||
| 338 |
_avolume _2rdacarrier |
||
| 500 | _aIncludes index. | ||
| 521 | _aSpecialized. | ||
| 650 | 0 | _aNatural language generation (Computer science) | |
| 650 | 0 |
_aArtificial intelligence _xComputer programs. |
|
| 650 | 0 | _aNatural language processing (Computer science) | |
| 650 | 7 |
_aComputers and IT. _2ukslc |
|
| 700 | 1 |
_aTaylor, Mike _c(Computer engineer) _eauthor. |
|
| 960 |
_aPOL-2335 _b2440143 _c1 |
||
| 999 |
_c6935 _d6935 |
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