Description
LLM Engineering eBook Bundle – List of Titles
- Building Agentic AI Systems_ Create intelligent, autonomous AI agents that can reason, plan, and adapt
- Building AI-Intensive Python Applications_ Create intelligent apps with LLMs and vector databases
- Building Neo4j-Powered Applications with LLMs_ Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI
- ChatGPT for Conversational AI and Chatbots_ Learn how to automate conversations with the latest large language model technologies
- Designing Large Language Model Applications_ A Holistic Approach to LLMs
- Generative AI Foundations in Python_ Discover key techniques and navigate modern challenges in LLMs
- Generative AI with LangChain_ Build production ready LLM applications and advanced agents using Python and LangGraph, 2nd Edition
- Learning LangChain_ Building AI and LLM Applications with LangChain and LangGraph
- LLM Design Patterns_ A Practical Guide to Building Robust and Efficient AI Systems
- Pretrain Vision and Large Language Models in Python_ End-to-end techniques for building and deploying foundation models on AWS
- The Developer’s Playbook for Large Language Model Security_ Building Secure AI Applications
- A Simple Guide to Retrieval Augmented Generation
- AI-Native LLM Security_ Threats, defenses, and best practices for building safe and trustworthy AI
- Build a Large Language Model (From Scratch)
- Building AI Applications with Microsoft Semantic Kernel _ Easily integrate generative AI capabilities and copilot experiences into your applications
- Building AI Applications with OpenAI APIs_ Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects, 2nd edition
- Building LLM Powered Applications_ Create intelligent apps and agents with large language models
- Decoding Large Language Models_ An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications
- Effective Conversational AI
- Essential Guide to LLMOps_ Implementing effective strategies for Large Language Models in deployment and continuous improvement
- Generative AI Application Integration Patterns_ Integrate large language models into your applications
- Generative AI on Google Cloud with LangChain_ Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud
- LLMs in Enterprise_ Design strategies, patterns, and best practices for large language model development
- OpenAI API Cookbook_ Build intelligent applications including chatbots, virtual assistants, and content generators
- Prompt Engineering for LLMs_ The Art and Science of Building Large Language Model–Based Applications
- Unlocking Data with Generative AI and RAG_ Enhance generative AI systems by integrating internal data with large language models using RAG
- Unlocking the Power of Auto-GPT and Its Plugins_ Implement, customize, and optimize Auto-GPT for building robust AI applications
- AI-Powered Search
- Data Analysis with LLMs_ Text, tables, images and sound
- Generative AI with Amazon Bedrock_ Build, scale, and secure generative AI applications using Amazon Bedrock
- Building AI Agents with LLMs, RAG, and Knowledge Graphs_ A practical guide to autonomous and modern AI agents
- Kubernetes for Generative AI Solutions_ A complete guide to designing, optimizing, and deploying Generative AI workloads on Kubernetes
- Learn Generative AI with PyTorch
- RAG-Driven Generative AI_ Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
- Azure OpenAI Essentials_ A practical guide to unlocking generative AI-powered innovation with Azure OpenAI
- Building Data-Driven Applications with LlamaIndex_ A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
- Generative AI in Action
- LLM Engineer’s Handbook_ Master the art of engineering large language models from concept to production
- LLMs in Production_ From language models to successful products
- Natural Language Processing with Transformers, Revised Edition
- Generative AI for Cloud Solutions_ Architect modern AI LLMs in secure, scalable, and ethical cloud environments
- How Large Language Models Work
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