Your key to transformer based NLP vision speech and multimodalitiesDESCRIPTIONampnbspThis book covers transformer architecture for various applications including NLP computer vision speech processing and predictive modeling with tabular data. It is a valuable resource for anyone looking to harness the power of transformer architecture in their machine learning projects.The book provides a stepbystep guide to building transformer models from scratch and finetuning pretrained opensource models. It explores foundational model architecture including GPT VIT Whisper TabTransformer Stable Diffusion and the core principles for solving various problems with transformers. The book also covers transfer learning model training and finetuning and discusses how to utilize recent models from Hugging Face. Additionally the book explores advanced topics such as model benchmarking multimodal learning reinforcement learning and deploying and serving transformer models.In conclusion this book offers a comprehensive and thorough guide to transformer models and their various applications.WHAT YOU WILL LEARN Understand the core architecture of various foundational models including single and multimodalities. Stepbystep approach to developing transformerbased Machine Learning models. Utilize various opensource models to solve your business problems. Train and finetune various opensource models using PyTorch 2.0 and the Hugging Face ecosystem. Deploy and serve transformer models. Best practices and guidelines for building transformerbased models.WHO THIS BOOK IS FORThis book caters to data scientists Machine Learning engineers developers and software architects interested in the world of generative AI.ampnbsp