Books
AI and ML
LLM
Building Applications with Large Language Models: A Holistic Approach to LLMs

Building Applications with Large Language Models: A Holistic Approach to LLMs

A

Building Applications with Large Language Models: A Holistic Approach to LLMs

LLM transformers fine-tuning RAG AI agents prompt engineering application development

Author: Suhaas Pai
Publisher: ALIST
Year: 2026
Language: Russian; 73

Rate this book

To read the book, log in / register

Preview fragment

Similar books

Prompt Engineering for LLMs. The Art of Building Applications Based on Large Language Models

Prompt Engineering for LLMs. The Art of Building Applications Based on Large Language Models

John Berryman, Albert Ziegler

AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

Tom Taulli

Application Development Based on GPT-4 and ChatGPT. 2nd Edition

Application Development Based on GPT-4 and ChatGPT. 2nd Edition

Olivier Quelin, Marie-Alice Blete

Machine Learning with Low-Code

Machine Learning with Low-Code

Gwendolyn Stripling, Michael Abel

Developing Applications with GPT-4 and ChatGPT

Developing Applications with GPT-4 and ChatGPT

Olivier Quelin, Marie-Alice Blete

AI Assistants in Python: Applying LLM, GPT, RAG in Practice + Virtual Disk with Ready Bots and Examples

AI Assistants in Python: Applying LLM, GPT, RAG in Practice + Virtual Disk with Ready Bots and Examples

Vorobiev M. S.

Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

James Phoenix, Mike Taylor

Prompt Engineering and Working with LLMs. How to Talk to Artificial Intelligence

Prompt Engineering and Working with LLMs. How to Talk to Artificial Intelligence

Kamil Gadeev

GPT-3: A Guide to Using the OpenAI API

GPT-3: A Guide to Using the OpenAI API

Sandra Kublik, Shubham Saboo

Applied Text Data Analysis with Python. Machine Learning and Natural Language Processing Application Development

Applied Text Data Analysis with Python. Machine Learning and Natural Language Processing Application Development

Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda