Keep downtopc Online Please
Categories
PREMIUM ACCOUNTS
Support downtopc by buying or renewing your premium account using below links:
Most Commented
![eM Client Pro 9.2.1735 Multilingual [Updated]](https://pikky.net/medium/wXgc.png)
Partners
Mastering Transformers: The Journey from BERT to Large Language Models and Stable ...
Description material
epub | 24.66 MB | English | Isbn:9781837631506 | Author: Savas Yildirim, Meysam Asgari- Chenaghlu | Year: 2024
About ebook: Mastering Transformers: The Journey from BERT to Large Language Models and Stable Diffusion
Address NLP tasks as well as multi-modal tasks including both NLP and CV through the utilization of modern transformer architecture.
Understand the Complexity of Deep Learning Architectures and Transformers Architecture
Learn how to create effective solutions to industrial NLP and CV problems
Learn about the challenges in the preparation process, such as problem and language-specific data sets transformation
The Transformer-based language models such as BERT, T5, GPT, DALL-E, ChatGPT have dominated natural language processing studies and become a new paradigm. Understand and be able to implement multimodal solutions including text-to-image. Computer vision solutions that are based on Transformers are also explained in the book.
Thanks to their accurate and fast fine-tuning capabilities, Transformer-based language models outperformed traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems.
Apart from NLP, recently a fast-growing area in multimodal learning and generative AI has been established which shows promising results. Dalle and Stable diffusions are examples of it.
Developers working with The Transformers architecture will be able to put their knowledge to work with this practical guide to NLP. The book provides a hands-on approach to implementation and associated methodologies in the field of NLP that will have you up-and-running, and productive in no time. Also, developers that want to learn more about multimodal models and generative AI in the field of computer vision can use this book as a source.
How NLP technologies have evolved over the past years
How to solve simple/complex NLP problems with Python programming language
How to solve classification/regression problems with traditional NLP approaches
Training a language model and further exploring how to fine-tune the models to the downstream tasks
How to use Transformers for generative AI and computer vision tasks
How to build Transformers-based NLP applications with the Python Transformers library
How to build language generation such as Machine Translation, Conversational AI in any language
How to speed up transformer model inference to reduce latency
The book is for deep learning researchers, hands-on practitioners, ML/NLP researchers, educators and their students who have a good command of programming subjects, have knowledge in the field of machine learning and artificial intelligence, and want to develop applications in the field of cutting-edge natural language processing as well as multimodal tasks. The readers will have to know at least python or any programming language, know machine learning literature, have some basic understanding of computer science, as this book is going to cover the practical aspects of natural language processing and multimodal deep learning.
From bag-of-words to the Transformers
A hands-on Introduction to the Subject
Autoencoding Language Models
Autoregressive Language Models
Fine-tuning Language Model for Text Classification
Fine-tuning Language Model for Token Classification
Text Representation
Boosting your model performance
Parameter Efficient Fine-tuning
Zero-shot and Few-shot learning in NLP
Explainable AI (XAI) for NLP
Working with Efficient Transformers
Cross-Lingual Language Modeling
Serving Transformer Models
Model Tracking and Monitoring
Vision Transformers
Tabular Transformers
Multi-model Transformers
Graph Transformers
The Transformer-based language models such as BERT, T5, GPT, DALL-E, ChatGPT have dominated natural language processing studies and become a new paradigm. Understand and be able to implement multimodal solutions including text-to-image. Computer vision solutions that are based on Transformers are also explained in the book.
Thanks to their accurate and fast fine-tuning capabilities, Transformer-based language models outperformed traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems.
Apart from NLP, recently a fast-growing area in multimodal learning and generative AI has been established which shows promising results. Dalle and Stable diffusions are examples of it.
Developers working with The Transformers architecture will be able to put their knowledge to work with this practical guide to NLP. The book provides a hands-on approach to implementation and associated methodologies in the field of NLP that will have you up-and-running, and productive in no time. Also, developers that want to learn more about multimodal models and generative AI in the field of computer vision can use this book as a source.
The book is for deep learning researchers, hands-on practitioners, ML/NLP researchers, educators and their students who have a good command of programming subjects, have knowledge in the field of machine learning and artificial intelligence, and want to develop applications in the field of cutting-edge natural language processing as well as multimodal tasks. The readers will have to know at least python or any programming language, know machine learning literature, have some basic understanding of computer science, as this book is going to cover the practical aspects of natural language processing and multimodal deep learning.
Join to our telegram Group
Information
Users of Guests are not allowed to comment this publication.
Users of Guests are not allowed to comment this publication.
Choose Site Language
Keep downtopc Online Please
PREMIUM ACCOUNTS
Support downtopc by buying or renewing your premium account using below links:
Recommended news
Commented
![Movavi Video Editor 24.0.2.0 Multilingual [ Updated]](https://pikky.net/medium/qhrc.png)
All files on the site are presented for informational purposes.
Copyright © 2025 - Downtopc | All rights reserved
