Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive natural language processing (NLP) chatbots applied as an automated language teacher for Moët et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an advanced planning and scheduling (APS) solution used worldwide.
Denis Rothman - ebooki
Tytuły autora: Denis Rothman dostępne w księgarni Helion
-
Transformery w przetwarzaniu języka naturalnego i widzenia komputerowego. Generatywna AI oraz modele LLM z wykorzystaniem Hugging Face, ChatGPT, GPT-4V i DALL-E 3. Wydanie III
-
RAG-Driven Generative AI. Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
-
Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition
-
Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition
-
Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition
-
Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
-
Hands-On Explainable AI (XAI) with Python. Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
-
Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition
-
Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases