| 000 | 01613nam a22003017a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20260520124330.0 | ||
| 008 | 260520b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9789365897388 | ||
| 020 | _a9365897386 | ||
| 041 | _aeng | ||
| 082 | _a006.3 SAB-G | ||
| 100 |
_aSabesan, Karthikeyan _979293 |
||
| 245 |
_aGenerative AI for everyone : _bdeep learning, NLP, and LLMs for creative and practical applications |
||
| 260 |
_aNew Delhi _bBPB Publications _c2025 |
||
| 300 | _axx, 393p. | ||
| 520 | _aThis book begins with the basics of AI, explaining ML and design patterns to build a solid foundation. It delves deeply into generative AI and then progresses through machine learning, deep learning, and essential architectures such as CNNs, GANs, Diffusion, RNNs, LSTMs, and Transformers. It covers practical applications, from regression and classification to advanced use cases such as image generation, editing, document search, content summarization, and question answering. Readers will also learn to build prototypes like a Document Q&A bot, research assistant, and prompt playground, while mastering techniques such as continued pre-training, fine-tuning, model merging, retrieval-augmented generation, and agentic AI. | ||
| 650 |
_aArtificial intelligence. _979294 |
||
| 650 |
_aGenerative AI. _979295 |
||
| 650 |
_aDeep learning _979296 |
||
| 650 |
_aMachine learning _979297 |
||
| 650 |
_aNatural language processing _979298 |
||
| 650 |
_aLarge language models _979299 |
||
| 700 |
_aSivagamisundari _979300 |
||
| 700 |
_aDutta, Nilip _979301 |
||
| 942 | _cBK | ||
| 999 |
_c199991 _d199991 |
||