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Category: "Neural Networks"

Books

  1. Generative AI with local LLM
    Generative AI with local LLM
    A comprehensive roadmap for building AI-Driven applications with local LLMs
    Shamim Bhuiyan and Timur Isachenko

    Learn how to build your own AI application step-by-step. A hands-on guide to AI development with local LLM inference

  2. The Essential Guide to Blockchain Platforms
    The Essential Guide to Blockchain Platforms
    A comparative guide from Bitcoin to Solana to Kaspa
    Ross P Green

    This is the Elite Insights for 2026 edition.Never know which blockchain or crypto project to focus on or invest in? With so many projects out there, where do you start?! This guide helps you to make an educated decision, not a decision on a whim because someone said: "Hey, you gotta get in to this cool new crypto, it's pumping!" This book covers many blockchains both technically and comparatively, describing Bitcoin, Ethereum, Kaspa, Kadena, Algorand, Saito, Pulsechain, Solana, Sei, Bittensor and Nano. This book also asks the tough questions unveiling interesting insights:Does the Blockchain Trilemma really exist? Is the Trilemma a technological problem or an economic problem?Is there confusion on the definition of decentralisation? Is it better to focus on openness and non-excludability?Are the incentive mechanisms in many blockchains broken? Should all budget be focused on security, what about scalability and decentralisation?What is fee recycling attack? Which blockchain solves it? This is not just a guide; it's a roadmap for those seeking a deeper understanding of the technological nuances that differentiate blockchains.

  3. ChatGPT for beginners
    ChatGPT for beginners
    A Quick Introduction to Prompt Engineering!
    Wasi

    This practical guide shows you how to harness ChatGPT and GPT-5 to boost productivity, create content, organize notes, and solve real-world problems efficiently.  Learn how to craft precise prompts, optimize responses, and apply AI ethically while avoiding common pitfalls like bias, repetitive outputs, and over-reliance. The book also covers the evolution of GPT models, the Transformer architecture, and essential techniques to maximize AI performance.  With hands-on examples, workflow integration tips, and insights into advanced AI tools, this guide empowers students, professionals, and hobbyists to confidently use AI in daily life.  Take control of AI, improve your efficiency, and explore new creative possibilities with this beginner-friendly, practical, and responsible guide to ChatGPT and GPT-5.