Verfügbarkeit: Kreativität | Technische Universität München

Kreativität: wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden

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Bibliographische Detailangaben
Beteilige Person:	Csikszentmihalyi, Mihaly 1934-2021 (VerfasserIn)
Format:	Buch
Sprache:	Deutsch
Veröffentlicht:	Stuttgart Klett-Cotta 1999
Ausgabe:	4. Aufl.
Schlagwörter:	Kreativität Entdeckung Kreatives Denken Erfindung
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009115928&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	646 S.
ISBN:	3608917748

Internformat

MARC


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Datensatz im Suchindex

DE-BY-TUM_call_number	0002 PSY 330f 2003 A 11620
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adam_text	BRIEF CONTENTS 1 YY UNDERSTANDING LARGE LANGUAGE MODELS 1 2 YY WORKING WITH TEXT DATA 17 3 YY CODING ATTENTION MECHANISMS 50 4 YY IMPLEMENTING A GPT MODEL FROM SCRATCH TO GENERATE TEXT 92 5 YY PRETRAINING ON UNLABELED DATA 128 6 YY FINE-TUNING FOR CLASSIFICATION 169 7 YY FINE-TUNING TO FOLLOW INSTRUCTIONS 204 A YY INTRODUCTION TO PYTORCH 251 B YY REFERENCES AND FURTHER READING 289 C YY EXERCISE SOLUTIONS 300 D YY ADDING BELLS AND WHISTLES TO THE TRAINING LOOP 313 E YY PARAMETER-EFFICIENT FINE-TUNING WITH LORA 322 CONTENTS PREFACE XI ACKNOWLEDGMENTS XIII ABOUT THIS BOOK XV ABOUT THE AUTHOR XIX ABOUT THE COVER ILLUSTRATION XX UNDERSTANDING LARGE LANGUAGE MODELS 1 1.1 WHAT IS AN LLM? 2 1.2 APPLICATIONS OF LLMS 4 1.3 STAGES OF BUILDING AND USING LLMS 5 1.4 INTRODUCING THE TRANSFORMER ARCHITECTURE 7 1.5 UTILIZING LARGE DATASETS 10 1.6 A CLOSER LOOK AT THE GPT ARCHITECTURE 12 1.7 BUILDING A LARGE LANGUAGE MODEL 14 WORKING WITH TEXT DATA 17 2.1 UNDERSTANDING WORD EMBEDDINGS 18 2.2 TOKENIZING TEXT 21 2.3 CONVERTING TOKENS INTO TOKEN IDS 24 2.4 ADDING SPECIAL CONTEXT TOKENS 29 VII VIII CONTENTS 2.5 BYTE PAIR ENCODING 33 2.6 DATA SAMPLING WITH A SLIDING WINDOW 35 2.7 CREATING TOKEN EMBEDDINGS 41 2.8 ENCODING WORD POSITIONS 43 3 CODING ATTENTION MECHANISMS 50 3.1 THE PROBLEM WITH MODELING LONG SEQUENCES 52 3.2 CAPTURING DATA DEPENDENCIES WITH ATTENTION MECHANISMS 54 3.3 ATTENDING TO DIFFERENT PARTS OF THE INPUT WITH SELF-ATTENTION 55 A SIMPLE SELF-ATTENTION MECHANISM WITHOUT TRAINABLE WEIGHTS 56 COMPUTING ATTENTION WEIGHTS FOR ALL INPUT TOKENS 61 3.4 IMPLEMENTING SELF-ATTENTION WITH TRAINABLE WEIGHTS 64 COMPUTING THE ATTENTION WEIGHTS STEP BY STEP 65 YY IMPLEMENTING A COMPACT SELF-ATTENTION PYTHON CLASS 70 3.5 HIDING FUTURE WORDS WITH CAUSAL ATTENTION 74 APPLYING A CAUSAL ATTENTION MASK 75 YY MASKING ADDITIONAL ATTENTION WEIGHTS WITH DROPOUT 78 YY IMPLEMENTING A COMPACT CAUSAL ATTENTION CLASS 80 3.6 EXTENDING SINGLE-HEAD ATTENTION TO MULTI-HEAD ATTENTION 82 STACKING MULTIPLE SINGLE-HEAD ATTENTION LAYERS 82 YY IMPLEMENTING MULTI-HEAD ATTENTION WITH WEIGHT SPLITS 86 4 IMPLEMENTING A GPT MODEL FROM SCRATCH TO GENERATE TEXT 92 4.1 CODING AN LLM ARCHITECTURE 93 4.2 NORMALIZING ACTIVATIONS WITH LAYER NORMALIZATION 99 4.3 IMPLEMENTING A FEED FORWARD NETWORK WITH GELU ACTIVATIONS 105 4.4 ADDING SHORTCUT CONNECTIONS 109 4.5 CONNECTING ATTENTION AND LINEAR LAYERS IN A TRANSFORMER BLOCK 113 4.6 CODING THE GPT MODEL 117 4.7 GENERATING TEXT 122 CONTENTS IX PRETRAINING ON UNLABELED DATA 128 5.1 EVALUATING GENERATIVE TEXT MODELS 129 USING GPT TO GENERATE TEXT 130 YY CALCULATING THE TEXT GENERATION LOSS 132 YY CALCULATING THE TRAINING AND VALIDATION SET LOSSES 140 5.2 TRAINING AN LLM 146 5.3 DECODING STRATEGIES TO CONTROL RANDOMNESS 151 TEMPERATURE SCALING 152 YY TOP-K SAMPLING 155 MODIFYING THE TEXT GENERATION FUNCTION 157 5.4 LOADING AND SAVING MODEL WEIGHTS IN PYTORCH 159 5.5 LOADING PRETRAINED WEIGHTS FROM OPENAI 160 6 FINE-TUNING FOR CLASSIFICATION 169 6.1 DIFFERENT CATEGORIES OF FINE-TUNING 170 6.2 PREPARING THE DATASET 172 6.3 CREATING DATA LOADERS 175 6.4 INITIALIZING A MODEL WITH PRETRAINED WEIGHTS 181 6.5 ADDING A CLASSIFICATION HEAD 183 6.6 CALCULATING THE CLASSIFICATION LOSS AND ACCURACY 190 6.7 FINE-TUNING THE MODEL ON SUPERVISED DATA 195 6.8 USING THE LLM AS A SPAM CLASSIFIER 200 FINE-TUNING TO FOLLOW INSTRUCTIONS 204 7.1 INTRODUCTION TO INSTRUCTION FINE-TUNING 205 7.2 PREPARING A DATASET FOR SUPERVISED INSTRUCTION FINE-TUNING 207 7.3 ORGANIZING DATA INTO TRAINING BATCHES 211 7.4 CREATING DATA LOADERS FOR AN INSTRUCTION DATASET 223 7.5 LOADING A PRETRAINED LLM 226 7.6 FINE-TUNING THE LLM ON INSTRUCTION DATA 229 7.7 EXTRACTING AND SAVING RESPONSES 233 7.8 EVALUATING THE FINE-TUNED LLM 238 7.9 CONCLUSIONS 247 WHAT'S NEXT? 247 YY STAYING UP TO DATE IN A FAST-MOVING FIELD 248 YY FINAL WORDS 248 X CONTENTS APPENDIX A INTRODUCTION TO PYTORCH 251 APPENDIX B REFERENCES AND FURTHER READING 289 APPENDIX C EXERCISE SOLUTIONS 300 APPENDIX D ADDING BELLS AND WHISTLES TO THE TRAINING LOOP 313 APPENDIX E PARAMETER-EFFICIENT FINE-TUNING WITH LORA 322 INDEX 337 I'S NE IN( AS HA ME ERR TO TOR AN( EN( TICS] WIT EVE DO: YOU WO: THE
any_adam_object	1
author	Csikszentmihalyi, Mihaly 1934-2021
author_GND	(DE-588)120827573
author_facet	Csikszentmihalyi, Mihaly 1934-2021
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bvnumber	BV013364612
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classification_tum	PSY 330f
ctrlnum	(OCoLC)174515671 (DE-599)BVBBV013364612
discipline	Psychologie
edition	4. Aufl.
format	Book
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indexdate	2025-01-22T15:01:27Z
institution	BVB
isbn	3608917748
language	German
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-009115928
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open_access_boolean
owner	DE-N32 DE-1049 DE-91 DE-BY-TUM DE-11 DE-523
owner_facet	DE-N32 DE-1049 DE-91 DE-BY-TUM DE-11 DE-523
physical	646 S.
publishDate	1999
publishDateSearch	1999
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publisher	Klett-Cotta
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spellingShingle	Csikszentmihalyi, Mihaly 1934-2021 Kreativität wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden Kreativität (DE-588)4032903-3 gnd Entdeckung (DE-588)4014841-5 gnd Kreatives Denken (DE-588)4165549-7 gnd Erfindung (DE-588)4015223-6 gnd
subject_GND	(DE-588)4032903-3 (DE-588)4014841-5 (DE-588)4165549-7 (DE-588)4015223-6
title	Kreativität wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden
title_alt	Creativity
title_auth	Kreativität wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden
title_exact_search	Kreativität wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden
title_full	Kreativität wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden Mihaly Csikszentmihalyi
title_fullStr	Kreativität wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden Mihaly Csikszentmihalyi
title_full_unstemmed	Kreativität wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden Mihaly Csikszentmihalyi
title_short	Kreativität
title_sort	kreativitat wie sie das unmogliche schaffen und ihre grenzen uberwinden
title_sub	wie Sie das Unmögliche schaffen und Ihre Grenzen überwinden
topic	Kreativität (DE-588)4032903-3 gnd Entdeckung (DE-588)4014841-5 gnd Kreatives Denken (DE-588)4165549-7 gnd Erfindung (DE-588)4015223-6 gnd
topic_facet	Kreativität Entdeckung Kreatives Denken Erfindung
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009115928&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT csikszentmihalyimihaly creativity AT csikszentmihalyimihaly kreativitatwiesiedasunmoglicheschaffenundihregrenzenuberwinden

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