Building Agentic Systems with Gemma 4: Mastering Function Calling
A practical guide to implementing Function Calling with Gemma 4 for building reliable agentic systems. Learn how Gemma 4 differs from other open models, structured JSON output, and system prompt optimization with code examples.
Gemma 4 API Advanced Integration Guide: Hybrid Development with Gemini API
Advanced patterns for using Gemma 4 API alongside Gemini API. Covers Vertex AI deployment, fine-tuning, RAG pipelines, and cost optimization strategies.
Gemini 2.5 Pro Latest API: The Complete Developer Guide for Advanced Usage
Everything developers need to master the gemini-2.5-pro-latest API — from model selection and streaming to Function Calling, multimodal inputs, and cost optimization.
Gemini × Google Workspace Add-ons Development Guide — From Building Custom AI Side Panels to Marketplace Launch
A comprehensive guide to building custom AI side panels with Google Workspace Add-ons and Gemini API — from implementation to Marketplace publication and monetization.
Deep Dive into Gemini's Speech-to-Speech Translation — Technology Architecture and Developer Applications
Comprehensive technical exploration of Gemini 2.5's speech-to-speech translation. Learn the end-to-end architecture, Native Audio API implementation, low-latency techniques, and production deployment patterns.
Gemini 3.1 Flash vs Pro: How to Choose by Speed, Cost, and Accuracy
Compare Gemini 3.1 Flash and Pro across speed, accuracy, and cost, with the actual routing code I use. Includes a June 2026 update on the 3.5 Flash GA release.
Gemini 3.1 Flash High-Speed Inference API: Implementation Techniques for Streaming, Function Calling & Batch Processing
Master the technical architecture of Gemini 3.1 Flash and understand how fast inference works. Learn optimal implementation patterns for streaming, function calling, and batch processing with code examples. Make data-driven model selection decisions by comparing Flash with Pro models.
Gemini File Search API — Build AI Responses Grounded in Your Own Data Without RAG
Learn how to use Gemini File Search API to build AI responses grounded in your own documents without vector databases or RAG pipelines, with production-ready implementation patterns.
Gemini 3 Deep Think in Production: Advanced Reasoning Patterns & Optimization
Master production deployment of Gemini 3's Deep Think feature. Learn parallel reasoning flows, research applications, multi-step chains, and cost optimization strategies for AI Ultra subscribers.
Gemini Practical Techniques [Part 1] — API Basics, Prompt Design & Multimodal Fundamentals
Curated practical techniques from Gemini Lab premium articles. Part 1 covers API basics, Function Calling, structured output, and multimodal input patterns.
Running the Gemini API in Google Colab: Your First Working Notebook
Step-by-step guide to using the Gemini API in Google Colab. From API key setup to text generation, image analysis, and streaming — all with copy-paste Python code that works out of the box.
Gemini 2.5 Pro Extended Thinking Mode — Deeper Reasoning for High-Precision Answers
Learn how Gemini 2.5 Pro's Extended Thinking mode enhances reasoning capabilities. Explore the mechanism behind deeper inference, ideal use cases, and implementation methods with code examples for complex problem-solving.