NPBlue

AI & Generative AI

From LLM fundamentals to production agents — comprehensive guides on GenAI, ML, Deep Learning, RAG, and the tools engineers need in 2025.

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Generative AI

LLM architecture, prompt engineering, fine-tuning, RAG, agents, MCP, and production deployment.

GenAI View all →

Machine Learning

Supervised, unsupervised, and reinforcement learning — from fundamentals to MLOps in production.

ML View all →

RAG & Vector Search

Retrieval fundamentals, embeddings, vector search, indexing, and production-scale RAG systems.

RAG View all →

Edge Computing

Distributed edge nodes and devices, low latency, resilience, security, and AI inference at the edge.

Edge View all →

AI-Native Dev Platforms

Agent runtimes, tool use, governance, model lifecycle, and enterprise integration for AI-native platforms.

Native View all →

Deep Learning

Neural networks, transformers, CNNs, and modern training techniques at scale.

DL View all →