Fine-Tuning Gemma 4 in Practice: From Google Colab to Vertex AI
A practical guide to fine-tuning Gemma 4 with QLoRA on Google Colab (free GPU) and Vertex AI. Covers dataset preparation, 4-bit quantization, LoRA adapter configuration, training, and inference — with working code throughout.
Running Gemma 4 Locally: A Developer's Guide to On-Device AI Integration
Master running Google's latest open-source LLM Gemma 4 in your local development environment. Learn practical setups with Ollama and llama.cpp, plus multimodal and agent capabilities.
AI Agent Design Patterns in Practice: From Implementation to Production
Master the four major AI agent design patterns used in production environments. Learn the strengths, weaknesses, and implementation strategies for each pattern with real-world enterprise insights.
AI Agent Orchestration: Designing and Implementing Multi-Agent Systems
A systematic breakdown of orchestration design patterns for multi-agent systems — covering agent coordination, task delegation, and feedback loops with practical code examples.
Building a RAG Pipeline with Antigravity— Unlock Your Company's Knowledge with Vector Search and LLMs
A comprehensive guide to designing and implementing RAG (Retrieval-Augmented Generation) pipelines using Antigravity. Covers embedding generation, ChromaDB integration, hybrid search with reranking, prompt optimization, and production best practices.