All Tutorials
High-quality practical guides for developers, from beginner to expert.






























How to Implement Model Distillation in 2026
Master model distillation to compress your AI models without major loss of precision.
How to Integrate OpenRouter into an AI App in 2026
Expert tutorial for integrating OpenRouter into a robust Node.js architecture with dynamic routing and error management.
How to Deploy Agentic RAG in Production in 2026
Learn to transform a classic RAG into an agentic system capable of reasoning, routing, and iterating on data.
How to Master LiteLLM for Your LLMs in 2026
Discover how LiteLLM simplifies multi-model management and improves the resilience of your AI applications through solid theoretical principles.
How to Understand Mixtral in 2026
Discover how Mixtral works and how to leverage it optimally in your AI projects.
How to Integrate the Groq API for Fast LLMs in 2026
Master Groq API integration for exceptional production performance with streaming, tools, and TypeScript.
How to Deploy LiteLLM as a Unified LLM Proxy in 2026
Expert tutorial for deploying LiteLLM as a unified proxy with advanced configuration, conditional routing, and complete observability.
How to Detect Prompt Injections in 2026
Master prompt injection detection to protect your AI systems from subtle attacks. This intermediate tutorial explores proven theory and strategies without a single line of code.
How to Implement DPO to Align an LLM in 2026
Fine-tune an LLM with DPO without complex RLHF. Ready-to-use code to load preference data and train efficiently.
How to Implement DPO to Align an LLM in 2026
DPO simplifies LLM alignment by skipping complex reward models, using preference pairs directly. This beginner guide walks you through functional code step-by-step.
How to Get Started with LangSmith to Trace Your LLMs in 2026
LangSmith revolutionizes LLM app development with traceability and observability. This tutorial walks you step by step through tracing your first chains.
How to Master LLM-as-a-Judge in 2026
LLM-as-a-judge is revolutionizing automatic evaluation of language models. This expert tutorial breaks down the theory and strategies for reliable judgments.