LLM, Transformer, RAG AI: Mastering Large Language Models, Transformer Models, and Retrieval-Augmented Generation (RAG) Technology by Code Et Tu
Author:Code, Et Tu
Language: eng
Format: epub
Published: 2024-02-05T00:00:00+00:00
In conclusion, the Transformer architecture serves as the backbone for various LLMs, contributing to their success in natural language understanding and generation tasks. Its encoder-decoder structure, self-attention mechanism, multi-head attention, positional encoding, attention mask, pre-training and fine-tuning, transfer learning, parallelization, efficiency, and scalability make it an ideal choice for NLP tasks.
BERT (Bidirectional Encoder Representations from Transformers)
The Power of BERT in Understanding Context
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8150)
Test-Driven Development with Java by Alan Mellor(5937)
Hadoop in Practice by Alex Holmes(5845)
Data Augmentation with Python by Duc Haba(5822)
Jquery UI in Action : Master the concepts Of Jquery UI: A Step By Step Approach by ANMOL GOYAL(5690)
Principles of Data Fabric by Sonia Mezzetta(5604)
Learn Blender Simulations the Right Way by Stephen Pearson(5393)
Microservices with Spring Boot 3 and Spring Cloud by Magnus Larsson(5360)
Life 3.0: Being Human in the Age of Artificial Intelligence by Tegmark Max(5005)
Big Data Analysis with Python by Ivan Marin(4903)
RPA Solution Architect's Handbook by Sachin Sahgal(4778)
The Infinite Retina by Robert Scoble Irena Cronin(4450)
Functional Programming in JavaScript by Mantyla Dan(3945)
Pretrain Vision and Large Language Models in Python by Emily Webber(3862)
The Age of Surveillance Capitalism by Shoshana Zuboff(3791)
Infrastructure as Code for Beginners by Russ McKendrick(3655)
WordPress Plugin Development Cookbook by Yannick Lefebvre(3340)
Deep Learning with PyTorch Lightning by Kunal Sawarkar(3210)
Blockchain Basics by Daniel Drescher(3184)
