Build AI-powered automations in n8n: install, connect LLMs, craft prompts, and ship three real workflows with testing, scaling, and security tips.
How to integrate AI sentiment analysis APIs into social media stacks—architecture, metrics, sample code, and best practices for reliable, real-time insights.
A step-by-step guide to preparing high-quality datasets for LLM fine-tuning, from sourcing and cleaning to formats, safety, splits, and evaluation.
A practical guide to function calling vs. tool use in LLMs: architectures, trade-offs, design patterns, reliability, security, and evaluation.
Build a production‑ready pipeline for AI document understanding: upload, OCR, schema‑based extraction, tables, QA, validation, and storage.
Build a production-ready tutorial for knowledge graph–enhanced AI retrieval: schema, ingestion, Cypher, hybrid search, and evaluation.
