Books
- Technical Note: The Large Processing Unit (LPU) ArchitectureLow-Latency Inference and Deterministic Embedding within the Naciro Intelligence Engine.Sven Neawolf (Schmidt)
Discover the LPU architecture. This note details the specialized inference stack used for sub-50 ms latency and deterministic data embedding within the Naciro Intelligence Engine.
Check the live data onhttps://nationfiles.com - NationFiles Stability Index (NFSI): Validation and Verification ReportTechnical Audit of Methodology, Calculation Layers, and Data Integrity.Sven Neawolf (Schmidt)
The official technical audit for the NFSI. Access the complete formulas, weight matrices, and validation logic behind the NationFiles Stability Index to ensure total transparency.
Check the live data onhttps://nationfiles.com - Algorithmic Geopolitics: The 3-Stage MethodologyNormalization, Aggregation, and Weighted Composition within the NationFiles FrameworkSven Neawolf (Schmidt)
Discover the logical heart of the NFSI. This paper explains the 3-stage pipeline used to transform heterogeneous OSINT signals into a traceable and auditable geopolitical stability index.
Check the live data onhttps://nationfiles.com - Algorithmic Geopolitics: Methodology of AI-Driven Real-Time Stability Indexing within the NationFiles FrameworkMethodology and Application of AI-Driven Geopolitical Risk Analysis: The Naciro Intelligence EngineSven Neawolf (Schmidt)
A deep dive into the NationFiles Stability Index (NFSI). Discover how 115+ real-time indicators and the Naciro Intelligence Engine redefine geopolitical risk analysis through transparent, rule-based 15-minute recalibration.
Check the live data onhttps://nationfiles.com نموذج التحدي: "هل أنت مستعد لعام 2026؟ العالم يتغير، والذكاء الاصطناعي لم يعد خياراً بل ضرورة للبقاء. اكتشف كيف تتحول من مستخدم عادي إلى محترف يقود الثورة."نموذج الفضول: "ما الذي يميز المحترفين الذين سيحتكرون سوق العمل في 2026؟ السر ليس في الأدوات، بل في كيفية تطويعها. دليلك الشامل بين يديك."نموذج مباشر وقوي: "من الصفر إلى الاحتراف في عالم الـ GenAI. خارطة طريق عملية لامتلاك أدوات المستقبل اليوم
- Unsloth: Efficient Fine-Tuning for Large Language ModelsMethods and Workflows for Fine-Tuning and Deploying Large Language Models on Limited HardwareEdgar Milvus
Master the engineering principles behind Unsloth to fine-tune Large Language Models on limited hardware. Discover technical workflows for 4-bit quantization, custom Triton kernels, and Direct Preference Optimization. This guide covers the full lifecycle, including context expansion and production deployment via GGUF and vLLM. A rigorous reference for developers seeking to maximize LLM performance on consumer-grade GPUs.
- Swift + OpenAI & LangChainIntegrating external LLM APIs, RAG pipelines, and agentic workflows in iOS and macOS appsEdgar Milvus
Master AI integration on Apple platforms by bridging Swift 6 with OpenAI, LangChain, and autonomous agents. Build high-performance RAG pipelines using hardware-accelerated vector math and persistent local semantic memory. Architect thread-safe, real-time apps with strict concurrency, intelligent function calling, and efficient token streaming. Move from basic API calls to production-grade intelligence with the definitive guide for modern Apple developers.
- No Description Available
Stop building chatbots and start building agents that interact directly with the Android OS. Master Gemini Nano and AICore to architect autonomous systems that see, think, and take action. Implement production-ready Tool Calling, Screen Awareness, and the ReAct loop using Kotlin 2.x. Move beyond the API call—embrace the Agentic Era and build the future of mobile intelligence.
- On-Device GenAI with Android KotlinMastering Gemini Nano, AICore, and local LLM deployment using MediaPipe and Custom TFLite modelsEdgar Milvus
The era of cloud-only AI is over. Transition from calling remote APIs to building on-device brains using Gemini Nano, local LLMs, and private RAG pipelines.Master the hardware orchestration and Kotlin architecture needed for privacy, zero latency, and production-grade mobile intelligence.Stop being just a developer—become an Android AI Engineer and lead the 2026 mobile revolution today!
- Cut Your Claude Code Token Usage in Half48 diagnostic symptoms for Claude Code cost: context window bloat, subagent cost, MCP server overhead and cache misses — what each looks like and what to change.yurukusa
Claude Code users routinely spend more on tokens than they expect, and cannot see where the money goes. Chapter 8 catalogues 48 diagnostic symptoms — what each one looks like, what it costs you, and what to change — with a fix where a fix exists, and an honest "unresolved" where none does yet. Chapter 7 puts before-and-after numbers against the changes, measured on the author's own unattended runs, and Chapter 9 collects the settings templates.
- Architecting Production-Ready Gen AI and Agentic AI SystemsA Practitioner’s Guide to Architecture, Retrieval, Agents, Evaluation, Security, Governance, FinOps, and Production OperationsSrinivas Bommena
An AI system becomes an architecture problem when it can influence decisions, invoke tools, carry state or change the outside world. This practitioner playbook shows how to design Gen AI and Agentic AI systems that remain reliable, governable and defensible once they reach production.
- MLX Swift & Local LLMs. Deep dive into Apple's MLX framework for high-performance machine learning.Building custom inference engines, fine-tuning local models (LoRA), and leveraging Unified Memory directly from Swift.Edgar Milvus
Transform your Apple devices into AI powerhouses with native MLX Swift and local LLMs. Master "Metal-to-Model" workflows, leveraging unified memory for lightning-fast, zero-copy inference. Implement LoRA fine-tuning, 4-bit quantization, and real-time streaming for a superior user experience. Build the next generation of privacy-centric, offline-first AI applications directly in Swift 6.
Stop building static interfaces for dynamic AI and master the art of reactive, intelligent design.Leverage Swift 6 concurrency and @Observable to handle real-time token streaming and async outputs.From SwiftData persistence to animated visualizations, learn to architect production-ready Apple apps.The ultimate guide to building fluid, professional user experiences powered by modern AI models.
Mastering Swift 6 is the key to unlocking Apple Intelligence in the new iOS 18 and macOS 15 era. From on-device LLMs to Private Cloud Compute, architect intelligent features that prioritize user privacy and speed. Integrate Writing Tools, App Intents, and On-Screen Awareness using robust Swift 6 Actors and asynchronous patterns. Transform your applications into context-aware assistants and lead the generative AI revolution on Apple platforms.
