Applied generative AI for beginners practical knowledge on diffusion models, ChatGPT, and other LLMs
This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative te...
| Autor principal: | |
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| Otros Autores: | , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Berkeley, California] :
Apress
2023.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009786700806719 |
Tabla de Contenidos:
- Chapter 1: Introduction to Generative AI
- Chapter 2: The Evolution of Neural Networks to Large Language Models
- Chapter 3: LLMs and Transformers
- Chapter 4: The ChatGPT Architecture: An In-Depth Exploration of OpenAI's Conversational Language Model
- Chapter 5: Google Bard and Beyond. - Chapter 6: Implement LLM’ using Sklearn
- Chapter 7: LLMs for Enterprise and LLMOps 8: Diffusion Model & Generative AI for Images. - Chapter 9: ChatGTP Use Cases.
