Super Study Guide: Transformers & Large Language Models

Amidi, Afshine; Amidi, Shervine

/ ISBN 13: 9798836693312

Published by Independently published (edition ), 2024

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # ACI5HFQ6R8-8-1

Synopsis:

This book is a concise and illustrated guide for anyone who wants to understand the inner workings of large language models in the context of interviews, projects or to satisfy their own curiosity.

It is divided into 5 parts:

• Foundations: primer on neural networks and important deep learning concepts for training and evaluation
• Embeddings: tokenization algorithms, word-embeddings (word2vec) and sentence embeddings (RNN, LSTM, GRU)
• Transformers: motivation behind its self-attention mechanism, detailed overview on the encoder-decoder architecture and related variations such as BERT, GPT and T5, along with tips and tricks on how to speed up computations
• Large language models: main techniques to tune Transformer-based models, such as prompt engineering, (parameter efficient) finetuning and preference tuning
• Applications: most common problems including sentiment extraction, machine translation, retrieval-augmented generation and many more

Bibliographic Details

Title: Super Study Guide: Transformers & Large ...
Publisher: Independently published (edition )
Publication Date: 2024
Binding: Paperback
Condition: Very Good