Resources for Transformers for Natural Language Processing and Computer Vision, 3rd Edition and RAG-driven Generative AI
Denis Rothman
?? AI Expert & Ethicist | Agentic Generative AI & RAG Designer | OpenAI and Google AI expert| Author & Speaker| AI Business Visionary
This page is designed to provide rapid access to my books and GitHub repositories.
I.Transformers for Natural Language Processing and Computer Vision, 3rd Edition
The book:
The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI.
The GitHub open-source notebooks :
The repository contains open-source notebooks for each chapter in the book.
You can open the notebooks on GitHub, Google Colab in Kaggle, Gradient, and AWS Sagemaker by clicking on the links in the README file of the GitHub repository.
II. RAG-driven Generative AI
Minimize hallucinations and build accurate, custom Generative AI pipelines with RAG using embedded vector databases and integrated human feedback.
The book on Packt Publishing:
The book on Amazon:
The GitHub repository with the open-source notebooks :
III.My Amazon author page for more on my books:
IV.Generative AI in Action event November 11-13, 2024
I present the latest technologies for RAG-Drive Generative AI and participate in a panel discussion with AI experts.
Amexio group AI program Director
1 年Dois je faire un commentaire positif ? Je suis fan je l'ai acheté et j'ai commencé à le lire
Amplify Your Thinking - Simplify your process to Grow with AI |-> facilitating Digital Change - monitoring Risk - measuring Success
2 年Hello Denis, do you agree with the take on ChatGPT by John Oliver? What do you make of his point about "explainable AI"? I guess your an expert in the field. Thanks in advance for taking the time to answer.
Lead Software Engineer - Clinical Informatics / Senior Tapestry Consultant
2 年Thanks for your articles and books, they are a great resource! What has been your experience with connecting LLMs to other data sources? I came across a github project called LlamaIndex which seems to work pretty well. It acts as an interface between the LLM and an external data set. I'm curious to know what you've seen others do. Thanks!
Technical Manager at KPMG US
2 年Hi Denis Rothman , let me ask the very obvious question; are we dealing with a language model or a knowledge model?