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100	1		_aRaaijmakers, Stephan _eautor, _9165406
245	1	0	_aLarge language models / _cStephan Raaijmakers.
264		1	_aCambridge, Massachusetts : _bThe MIT Press, _c2025.
300			_a292 páginas ; _c18 centímetros.
336			_2rdacontent _atexto _btxt
337			_2rdamedia _asin mediación _bn
338			_2rdacarrier _avolumen _bnc
520			_aIn November 2022, ChatGPT swept the globe with a mixed frenzy of excitement and anxiety. Was this a step closer to reaching singularity or just another marvel in machine learning? Author Stephan Raaijmakers provides a comprehensive introduction to Large Language Models (LLMs), describing what exactly they are capable of from a technical and creative standpoint. This concise volume covers everything from the architecture of LLM neural networks to the limitations of LLMs to how our governments can regulate this technology. In explaining how exactly LLMs learn from data sets, Raaijmakers defangs the more sensational arguments we may be familiar with. Instead, he offers a more grounded approach to how this groundbreaking—and increasingly ubiquitous—form of artificial intelligence will shape our society for years to come.
650		0	_aProcesamiento del lenguaje natural _9165407
650		0	_aInteligencia artificial
650		0	_aAprendizaje automático _9165256
650		0	_aModelos de lenguaje _9165408
650		0	_aChatGPT (Programa de computadora) _9165409
942			_2ddc _cBK
999			_c48679 _d48679