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2025
EN
Large Language Models for Code (LLMCs)—AI systems trained on extensive code repositories—are reshaping software development by enabling developers to address complex tasks with greater efficiency. These models support a range of activities, from generating code to identifying bugs and optimizing architectures, but their effective use requires a deep understanding of their capabilities and limitations. This e-book provides a structured exploration of LLMCs, offering developers practical gui...
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LLM Engineer's Handbook
Master the art of engineering large language models from concept to production
2024
EN
Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesBuild and refine LLMs step by step, covering data preparation, RAG, and fine-tuningLearn essential skills for deploying and monitoring LLMs, ensuring optimal performance in productionUtilize preference alignment, e...
2024
EN
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in g...
Building LLM Powered Applications
Create intelligent apps and agents with large language models
2024
EN
Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesEmbed LLMs into real-world applicationsUse LangChain to orchestrate LLMs and their components within applicationsGrasp basic and advanced techniques of prompt engineeringBook DescriptionBuilding LLM Powered Applications del...
2011
EN
Powerful, low-cost database development tools make it possible for virtually anybody to create their own database—and this hands-on guide makes it fun and easyDatabases permeate every nook and cranny of our highly connected, information-intensive world, from ATMs to personal finance, online shopping, and networked information management. Databases have become so integral to the business environment that, nowadays, it's next to impossible to stay competitive without...
RAG-Driven Generative AI
Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
2024
EN
Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesImplement RAG’s traceable outputs, linking each response to its source document to build reliable multimodal conversational agentsDeliver accurate generative AI models in pipelines integrating RAG, real-time human fee...
2016
EN
There are rules. There sure are rules. But no one is going to tell you those! They aren't told because everyone makes their own and its one of its kind. The question is how do I make my own rules to be a better programmer? Is it possible?The answer is yes and hence is this book. This book will aid you in being a better programmer. If you have plans to start learning programming or have just began, then this is the right time to read this book. In any other case as well, the time is...
Practical Data Analysis
For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that.
2013
EN
Each chapter of the book quickly introduces a key theme of Data Analysis, before immersing you in the practical aspects of each theme. Youll learn quickly how to perform all aspects of Data Analysis.Practical Data Analysis is a book ideal for home and small business users who want to slice & dice the data they have on hand with minimum hassle.
Unlocking Data with Generative AI and RAG
Enhance generative AI systems by integrating internal data with large language models using RAG
2024
EN
Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantage Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesOptimize data retrieval and generation using vector databasesBoost decision-making and automate workflows with AI agentsOvercome common challenges in implementing real-world RAG systemsPurchase ...
Building Business-Ready Generative AI Systems
Build Human-Centered AI Systems with Context Engineering, Agents, Memory, and LLMs for Enterprise
2025
EN
Supercharge your business with context-aware AI controllers, adaptive agents, multimodal reasoning functionality, neuroscientific memory systems, and flexible handler mechanisms that integrate the emerging generative AI models. Get with your book: PDF copy, AI Assistant, and Next-Gen Reader free.Key FeaturesBuild an adaptive, context-aware AI controller with advanced memory strategiesEnhance GenAISys with multi-domain, multimodal reasoning capabilities ...
Building AI Intensive Python Applications
Create intelligent apps with LLMs and vector databases
2024
EN
Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI appsKey FeaturesGet to grips with the fundamentals of LLMs, vector databases, and Python frameworksImplement effective retrieval-augmented generation strategies with MongoDB AtlasOptimize AI models for performance and accuracy with model compression and deployment optimization
Building Data-Driven Applications with LlamaIndex
A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
2024
EN
Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications Key FeaturesExamine text chunking effects on RAG workflows and understand security in RAG app developmentDiscover chatbots and agents and learn how to build complex conversation enginesBuild as you learn by applying the knowledge you gain to a hands-on projectBook DescriptionDisc...











