EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Generative Ai With Python Bert Gollnick

Name: Generative Ai With Python Bert Gollnick
SKU: BELL-236942504
Price: 35.00 USD
Availability: InStock
Rating: 4 (56 reviews)

SKU: BELL-236942504

$ 35.00 ~~$ 45.00~~ (-22%)

4.0

56 reviews

Generative Ai With Python Bert Gollnick instant download after payment.

Publisher: Rheinwerk Publishing Inc.

File Extension: EPUB

File size: 8.92 MB

Author: Bert Gollnick

ISBN: 9781493226900, 9781493226917, 1493226908, 1493226916, B0DVZLM6PD

Language: English

Year: 2025

Product desciption

Generative Ai With Python Bert Gollnick by Bert Gollnick 9781493226900, 9781493226917, 1493226908, 1493226916, B0DVZLM6PD instant download after payment.

Your guide to generative AI with Python is here! Start with an introduction to generative AI, NLP models, LLMs, and LMMs—and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like OpenAI and LangChain. Get step-by-step instructions for working with vector databases and using retrieval-augmented generation. With information on agentic systems and AI application deployment, this guide gives you all you need to become an AI master!
Highlights:
1) Natural language processing (NLP) models
2) Large language models (LLMs)
3) Pretrained models
4) Prompt engineering
5) Vector databases
6) Retrieval-augmented generation (RAG)
7) Agentic systems
8) OpenAI
9) LangChain
10) Hugging Face
11) crewAI
12) AG2