Fine-tuning AI Models for PHP/Laravel: Building Your Own Coding Assistant
Comprehensive guide to fine-tune LLM models to create a coding assistant specialized in PHP and Laravel. From dataset preparation, training, to deployment with Laravel.
5 articles
Working with LLMs in PHP/Laravel applications. Topics include API integration, prompt engineering, embeddings, fine-tuning, and building AI-powered features.
Comprehensive guide to fine-tune LLM models to create a coding assistant specialized in PHP and Laravel. From dataset preparation, training, to deployment with Laravel.
Learn prompt engineering from a PHP developer's perspective. System prompts, structured output, few-shot examples, chain-of-thought, tool use patterns, and real Laravel integration examples that reduce API costs and improve reliability.
Go beyond simple LLM API calls. Build AI agents in Laravel that use tools, maintain memory, reason in loops, and take actions — with practical code examples.
A comprehensive guide to implementing Retrieval-Augmented Generation (RAG) in Laravel. From chunking strategies to vector retrieval and LLM context injection.
Beyond simple API calls. Streaming responses, handling timeouts, managing context windows, and using standard packages like Prism.