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●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20
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fine-tuning

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⬡ Gemini Advanced/2026-05-06Advanced

Production-Grade Gemma 4 + Ollama + Android Studio — Task Routing, Fine-Tuning, Team Deployment, and CI Integration

A deep-dive into running Gemma 4 locally for Android development at production scale. Covers model-routing proxies, LoRA fine-tuning for project-specific patterns, Docker Compose team setup, and GitHub Actions AI code review integration.

⬡ Gemini Advanced/2026-04-11Advanced

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 Advanced/2026-03-14Advanced

Gemini Model Tuning API Guide — Building Custom Models

Learn to build domain-specific custom models using Gemini's model tuning capabilities for specialized AI applications.

◈ Gemini API/2026-03-14Advanced

Fine-Tuning Gemini: Building Specialized Models for Domain-Specific Applications

Complete guide to fine-tuning Gemini models. Learn dataset preparation, training strategies, evaluation metrics, and production deployment for custom AI.