Large language models
- Building AI Agents from Scratch with PythonFrom LLM calls to multi-agent systems in productionCAIO INCAU
Build a complete AI agent from scratch — from a simple API call to a production multi-agent system with memory, planning, RAG, security, and deployment. 15 chapters, one real project, complete Python code.
- OpenClaw and Hermes for Agentic AIJason O'Neal
What if agentic AI was less about hype and more about work you can actually inspect?OpenClaw and Hermes for Agentic AI is a practical field guide to building with local agents, memory, tools, sessions, cron jobs, and ACP bridges. It shows how to turn fuzzy ideas into reliable workflows with clear boundaries, real artifacts, and human review where it matters most.If you want a grounded look at how agent systems really operate, this book starts there.
- Naciro: Der neue Code globaler IntelligenzWarum traditionelle Geopolitik versagt und wie Algorithmen die Welt von morgen messen.Sven Neawolf (Schmidt)
Geopolitik ist zu langsam. Entdecken Sie, wie die Naciro Engine KI nutzt, um den Puls der Nationen in Echtzeit zu messen – mit einer 15-minütigen Rekalibrierung von globaler Wahrheit und Macht.
Check the live data onhttps://nationfiles.com - Naciro: The New Code of Global IntelligenceWhy traditional geopolitics fails and how algorithms measure the world of tomorrow.Sven Neawolf (Schmidt)
Geopolitics is too late. Discover how the Naciro Engine uses AI to measure the pulse of nations in real-time, providing a 15-minute recalibration of global truth and power.
Check the live data onhttps://nationfiles.com - Algorithmic Geopolitics: Methodology and Application MonographA Comprehensive Research Summary on AI-Driven Real-Time Stability Indexing.Sven Neawolf (Schmidt)
A concentrated scientific overview of the NationFiles framework. This monograph details the methodology and application of AI-driven real-time stability indexing for research and peer review.
Check the live data onhttps://nationfiles.com - 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!
