Books / AI and ML / LLM

AI and ML

All Programming languages 1538AI and ML 762Algorithms and theory 505Software Development 470WEB development 390DevOps and Infrastructure 271Cybersecurity 225OS and System 172Other 169Databases 146Game development 143Embedded systems 131IT management 106
All Data Science 253Machine learning 151LLM 107Neural networks 91ChatGPT 37TensorFlow 29Computer Vision 26PyTorch 21MLOps 18Natural Language Processing 12熊猫 9AI Agents 1
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EN
The Agentic AI Revolution: Leveraging Microsoft AI and Autonomous Agents to Transform Work and Business

The Agentic AI Revolution: Leveraging Microsoft AI and Autonomous Agents to Transform Work and Business

A

Will Hawkins, Nancie Calder

AI and ML
EN
Claude Code Mastery: Build, Automate, and Scale Production-Ready Systems with Claude AI

Claude Code Mastery: Build, Automate, and Scale Production-Ready Systems with Claude AI

A

Eslam Wahba

AI and ML
EN
Designing Large Language Model Applications

Designing Large Language Model Applications

A

Suhas Pai

AI and ML
EN
The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers

The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers

A

Ivan Gridin

AI and ML
EN
Mastering LangChain: A Comprehensive Guide to Building Generative AI Applications

Mastering LangChain: A Comprehensive Guide to Building Generative AI Applications

A

Sanath Raj B Narayan, Nitin Agarwal

AI and ML
EN
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

A

Mayo Oshin, Nuno Campos

AI and ML
EN
GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

A

Bernhard Eidel

AI and ML
EN
AI-Assisted Coding: The Practical Guide for Software Development

AI-Assisted Coding: The Practical Guide for Software Development

A

Michael Kofler, Bernd Öggl, Sebastian Springer

AI and ML
EN
Building Generative AI Agents Using LangGraph, AutoGen, and CrewAI

Building Generative AI Agents Using LangGraph, AutoGen, and CrewAI

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Tom Taulli, Gaurav Deshmukh

AI and ML
EN
Build Financial Software with Generative AI (From Scratch)

Build Financial Software with Generative AI (From Scratch)

A

Christopher Kardell, Mark Brouwer

AI and ML
EN
Software Craftsmanship Using AI: Practical guide for using LLMs in writing, reviewing and testing code

Software Craftsmanship Using AI: Practical guide for using LLMs in writing, reviewing and testing code

A

Almantas Karpavičius

AI and ML
EN
AI-Powered Search

AI-Powered Search

A

Trey Grainger, Doug Turnbull, Max Irwin

AI and ML
EN
Large Language Models Ops for Finance: A Practical Guide to Infrastructure, Implementation, and Innovation

Large Language Models Ops for Finance: A Practical Guide to Infrastructure, Implementation, and Innovation

A

Brindha Priyadarshini Jeyaraman

AI and ML
EN
Essential GraphRAG: Knowledge Graph–Enhanced RAG

Essential GraphRAG: Knowledge Graph–Enhanced RAG

A

Tomaž Bratanič, Oskar Hane

AI and ML
EN
Building AI Agents with LLMs, RAG, and Knowledge Graphs

Building AI Agents with LLMs, RAG, and Knowledge Graphs

A

Salvatore Raieli, Gabriele Iuculano

AI and ML
RU
Building an LLM from Scratch

Building an LLM from Scratch

A

Sebastian Raschka

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

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

A

Olivier Quelin, Marie-Alice Blete

AI and ML
RU
RAG Systems: From Theory to Practice. A Practical Guide to Building Intelligent Search and Content Generation Systems in the Era of Rapid AI Technology Development

RAG Systems: From Theory to Practice. A Practical Guide to Building Intelligent Search and Content Generation Systems in the Era of Rapid AI Technology Development

A

R. V. Dushkin

AI and ML
RU
Generative AI with Large Language Model (LLM) Training for Juniors

Generative AI with Large Language Model (LLM) Training for Juniors

A

Shamim Bhuyan, Timur Isachenko

AI and ML
RU
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

A

John Berryman, Albert Ziegler

AI and ML
EN
Visualizing Generative AI: How AI Paints, Writes, and Assists

Visualizing Generative AI: How AI Paints, Writes, and Assists

A

Priyanka Vergadia, Valliappa Lakshmanan

AI and ML
EN
Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

A

Anand Trivedi

AI and ML
EN
Generative AI for Software Development: Building Software Faster and More Effectively

Generative AI for Software Development: Building Software Faster and More Effectively

A

Sergio Pereira

AI and ML
EN
Intermediate Python and Large Language Models

Intermediate Python and Large Language Models

A

Dilyan Grigorov

AI and ML
EN
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

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John Berryman, Albert Ziegler

AI and ML
EN
Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

A

Shantanu Baruah, Nitara Baruah

AI and ML
EN
Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Building Applications with AI Agents: Designing and Implementing Multiagent Systems

A

Michael Albada

AI and ML
EN
Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

A

Valliappa Lakshmanan, Hannes Hapke

AI and ML
RU
RAG and Generative AI. Building Custom RAG Pipelines with LlamaIndex, Deep Lake, and Pinecone

RAG and Generative AI. Building Custom RAG Pipelines with LlamaIndex, Deep Lake, and Pinecone

A

Denis Rothman

AI and ML
RU
AI Engineering. Building Applications with Foundational Models

AI Engineering. Building Applications with Foundational Models

A

Chip Huyen

AI and ML
RU
Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

A

James Phoenix, Mike Taylor

AI and ML
EN
Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

A

Banglore Vijay Kumar Vishwas, Sri Ram Macharla

AI and ML
EN
Data Analysis with LLMs: Text, tables, images and sound

Data Analysis with LLMs: Text, tables, images and sound

A

Immanuel Trummer

AI and ML
EN
Build a Large Language Model (From Scratch)

Build a Large Language Model (From Scratch)

A

Sebastian Raschka

AI and ML
EN
How Large Language Models Work

How Large Language Models Work

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Edward Raff, Drew Farris, Stella Biderman

AI and ML
EN
The Art of AI Product Development: Delivering Business Value

The Art of AI Product Development: Delivering Business Value

A

Dr. Janna Lipenkova

AI and ML
EN
AI Agents in Action

AI Agents in Action

A

Micheal Lanham

AI and ML
EN
Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

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Arindam Ganguly

AI and ML
EN
The Hundred-Page Language Models Book

The Hundred-Page Language Models Book

A

Andriy Burkov

AI and ML
EN
Building Generative AI Applications with Open Source Libraries: A Practical Guide to Implementing Large Language Models

Building Generative AI Applications with Open Source Libraries: A Practical Guide to Implementing Large Language Models

A

Srikannan Balakrishnan

AI and ML

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