000			04262nam a2200601Ia 4500
001			1391330367
003			OCoLC
005			20251217135815.0
008			230223t20232023nyua b 001 0 eng
010			_a 2023008730
020			_a9781484293690 _q(paperback)
035			_a(OCoLC)1391330367
040			_aDNLM/DLC _beng _erda _cDLC _dYDX _dBDX _dTOH _dIMT _dVP@ _dYDX _dOCLCF _dOCLCO _dZGR _dGUA _dGYG _dUtOrBLW _dAU
042			_apcc
049			_aAlfaisal Main Library
050	0	0	_aQ335 .T38 2023 1
100	1		_aBennett, Max S. _qTAULLI, TOM _eauthor.
245	1	2	_a Generative AI _bhow ChatGPT and other AI tools will revolutionize business
250			_aFirst edition.
264		1	_aNew York : _bMariner Books, _c2023
264		4	_c©2023
300			_a208 pages _billustrations ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 373-399) and index.
505	0	0	_tThe basics of human brain anatomy -- _tOur evolutionary lineage -- _tIntroduction -- _tThe world before brains -- _gBreakthrough #1: Steering and the first bilaterians. _tThe birth of good and bad -- _tThe origin of emotion -- _tAssociating, predicting, and the dawn of learning -- _gBreakthrough #2: Reinforcing and the first vertebrates. _tThe Cambrian explosion -- _tThe evolution of temporal difference learning -- _tThe problems of pattern recognition -- _tWhy life got curious -- _tThe first model of the world -- _gBreakthrough #3: Simulating and the first mammals. _tThe neural dark ages -- _tGenerative models and the neocortical mystery -- _tMice in the imaginarium -- _tModel-based reinforcement learning -- _tThe secret to dishwashing robots -- _gBreakthrough #4: Mentalizing and the first primates. _tThe arms race for political savvy -- _tHow to model other minds -- _tMonkey hammers and self-driving cars -- _tWhy rats can't go grocery shopping -- _gBreakthrough #5: Speaking and the first humans. _tThe search for human uniqueness -- _tLanguage in the brain -- _tThe perfect storm -- _tChatGPT and the window into the mind -- _tConclusion: The sixth breakthrough.
520			_aThis book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space.There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions - which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie - at very little cost. This is all part of generative AI. It's still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation."--Back cove
650		0	_aBrain.
650		0	_aBrain _xPhysiology.
650		0	_aIntellect.
650		0	_aArtificial intelligence.
650		0	_aEvolution (Biology)
650		7	_aBrains. _2aat
650		7	_aArtificial intelligence. _2aat
650		7	_aEvolution. _2aat
650		7	_aSCIENCE / Life Sciences / Evolution. _2bisacsh.
650		7	_aArtificial intelligence. _2fast
650		7	_aBrain _xPhysiology. _2fast
650		7	_aComputational neuroscience. _2fast
650		7	_aHuman evolution. _2fast
650		7	_aBrain. _2fast
650		7	_aIntellect. _2fast
650		7	_aEvolution (Biology) _2fast
650	1	2	_aBrain _xphysiology.
650	2	2	_aBiological Evolution.
650	2	2	_aArtificial Intelligence.
650	2	2	_aIntelligence _xphysiology.
650		2	_aBrain.
650		2	_aIntelligence.
655		0	_aPrint books. _2lcgft _94
942			_2lcc _cBOOKS
999			_c608168 _d608168