How to Teach a Small LLM to Suggest K12 Creative Project Ideas

A hands-on walkthrough of fine-tuning a small LLM (Qwen2.5-1.5B) to suggest culturally-grounded K12 STEAM project ideas. Covers the full pipeline: scraping and filtering ~19,000 Wikipedia articles, generating structured JSON training pairs using a local Qwen 2.5 7B model via Ollama, fine-tuning with LoRA on Apple Silicon using MLX, evaluating on a held-out test set, adding RAG with vector embeddings to improve cultural accuracy, and integrating the model into a TypeScript educational app. Also addresses child-safety guardrails through both data filtering and runtime screening.

Source: https://www.freecodecamp.org/news/how-to-teach-a-small-llm-to-suggest-k12-creative-project-ideas. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.