AI Tutorials
Black-Box Backdoor Detection in Fine-Tuned LLMs with WeightWatch
Learn how to detect hidden backdoors in fine-tuned open-weight LLMs using WeightWatch, a black-box security auditing tool designed for MLOps CI/CD pipelines.
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- AI Tutorials
Building a Five-Stage LLM Refusal Gate for Production
Learn how to build a deterministic five-stage refusal gate for LLM applications to intercept missing evidence before hitting API endpoints, ensuring zero wasted tokens and clear accountability.Read more → - AI Tutorials
Seven Rules for Designing MCP Tools that Language Models Cannot Misread
Learn seven proven rules for building robust Model Context Protocol (MCP) servers and tools. Avoid LLM hallucinations, incorrect math, and ambiguous data handling with practical design patterns.Read more → - AI Tutorials
Agentic AI Production Strategies and Performance Trade-offs
Explore architectural patterns, performance trade-offs, and optimization techniques for deploying production-grade agentic AI systems.Read more → - AI Tutorials
How to deploy and tune Qwen3.8-27B on one RTX Pro 6000
A comprehensive guide on serving and tuning the Qwen3.8-27B dense FP8 model on a single RTX Pro 6000 GPU using vLLM, including MTP speculative decoding configuration and common production pitfalls.Read more → - AI Tutorials
Build Enterprise RAG on AWS with Managed Knowledge Bases, Smart Parsing, and Agentic Retrieval
Learn how to build an enterprise-grade Retrieval-Augmented Generation pipeline using Amazon Bedrock Managed Knowledge Bases, Smart Parsing, and agentic retrieval with Python.Read more → - AI Tutorials
SneakAI An Open-Source Architecture for Physical and Decentralized LLM Distribution
Explore SneakAI, an innovative open-source architecture for decentralized and physical LLM distribution using local storage media, and learn how to optimize your LLM API workflows with n1n.ai.Read more → - AI Tutorials
Liquid AI LFM2.5-24B-A2B: Hybrid Convolution and GQA Architecture for On-Device Reasoning
Explore the LFM2.5-24B-A2B by Liquid AI, a 24B parameter hybrid MoE model combining short convolutions and Grouped-Query Attention for high-speed local agent execution.Read more → - AI Tutorials
Code Search RAG: Chunk by Function With tree-sitter, Not by 512 Tokens
Learn how to improve code search RAG accuracy by replacing fixed-size token chunking with AST-based function-level parsing using tree-sitter.Read more → - AI Tutorials
Token Level Routing for High Throughput LLM Inference
Explore how token-level routing drastically improves LLM decoding throughput and cuts latency without model retraining, and learn how to implement optimized inference architectures.Read more → - AI Tutorials
LLMs.txt Best Practices for Agentic Retrieval and AI Documentation
Discover actionable best practices for creating and deploying /llms.txt files. Learn how to structure agent-readable maps, automate generation via CI/CD, and optimize context budgets for LLMs.Read more → - AI Tutorials
4 Rules in My CLAUDE.md That Fixed Bad Claude Code Sessions
Discover the 4 essential rules for your CLAUDE.md file to stop Claude Code from over-engineering, breaking adjacent files, and declaring premature victory. Boost your AI development workflow with production-tested strategies.Read more →