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TurboQuant Technical Deep Dive: PolarQuant and QJL Algorithms Explained
Explore the mathematics behind TurboQuant's PolarQuant and QJL algorithms at the formula level. Compare with GPTQ, AWQ, and SqueezeLLM. Understand implementation details and TurboQuant's transformative potential for Gemini.
Gemini 3.1 Pro × Cloud Run: Building Production Serverless AI APIs
Deploy Gemini 3.1 Pro on Cloud Run with SSE streaming, auto-scaling, cold start optimization, and production monitoring — the definitive guide to building serverless AI APIs.
Building with the Gemini API in Go — Text Generation, Image Analysis, Streaming, and Production Design
Implement the Gemini API in Go with the official Google Gen AI SDK — text generation, image analysis, and streaming, plus the production concerns quickstarts skip: goroutine throttling, timeout design, and model selection, all with complete code.
Driving a Browser with Gemini 3 Pro's Computer Use Tool: Implementation and Safety
Master Google's Computer Use Tool in Gemini 3 Pro. Learn browser automation, API integration, production patterns, and safety best practices for building AI agents.
Gemini API Multimodal Techniques in Practice — Mastering Image, Video, Audio, and PDF Processing
Advanced implementation guide for integrating all 4 modalities (image, video, audio, PDF) with Gemini API. Learn streaming pipelines and Function Calling integration for production-ready multimodal AI systems.
Five Errors That Break Gemini Image Generation — From 429s to Safety Filters
Causes and implementation-level fixes for the Gemini API image generation errors you are most likely to hit: 429 quota exhaustion, safety filter blocks, and corrupted output.
Gemini or GPT-5.4 in 2026: Choosing by Use Case
A detailed technical comparison of Gemini and GPT-5.4 in 2026. Compare context length, multimodal capabilities, pricing, speed, and real-world performance to make the right choice for your needs.
Gemini API Production Security Guide — API Key Management, Prompt Injection Defense, and Audit Logging
Securing the Gemini API in production: API key rotation, input/output sanitization, prompt injection defense, audit logging, and rate limiting, with production-ready code.
Building an AI Code Quality Pipeline with Gemini API and GitHub Actions — Automated PR Reviews, Security Scanning, and Documentation Generation
Learn how to build a production-grade AI code quality pipeline using Gemini API and GitHub Actions that automates PR reviews, security vulnerability scanning, and documentation generation.
Using NotebookLM as Gemini's Research Scout — How I Actually Cut Down PDF Reading Time
A working record of using NotebookLM as a research scout in front of Gemini. How I place it at the entrance to long PDFs, papers, and YouTube videos, plus an honest take on where podcast generation helps and where it doesn't.
Gemini API × BigQuery: AI-Powered Data Analysis — From Natural Language Queries to Actionable Insights
Learn how to combine Gemini API with BigQuery for natural language data analysis. Covers SQL auto-generation, result summarization, and production-ready patterns with practical Python code examples.
Google Gemini Reaches 750 Million Monthly Users: Growth Drivers, Market Impact, and Opportunities for Developers
Google Gemini surpassed 750 million monthly active users in Q4 2025. Explore the growth factors, business implications, and practical strategies for developers to capitalize on this momentum.