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AI API Token Optimization: Cut CostsAI Development

AI API Token Optimization: Cut Costs

A practical guide to AI API token optimization. See how conversation history, RAG documents, tool outputs and response length were reviewed to reduce input tokens from about 8,000 to 1,600 while preserving the information needed to answer users.

Vo Khanh
SEO in the Age of AI Search: Build a Knowledge System, Not Just More ArticlesAI Development

SEO in the Age of AI Search: Build a Knowledge System, Not Just More Articles

Publishing more articles does not automatically build authority. This guide explains how topical coverage, semantic SEO, original value, content cannibalisation management, internal links and site architecture work together to create a coherent knowledge system for AI-driven search.

Hung Hoang Khanh
AI Voice Production: 5 Best PracticesAI Development

AI Voice Production: 5 Best Practices

AI voice content uses two AI stages: script generation and text-to-speech. This guide explains how to test predefined voices, turn subjective feedback into requirements, manage versions, prioritize trade-offs, run group listening sessions and use post-processing to stabilize quality.

Nihei Tomotaka
Turning Google Colab into an API Server to Run Speech-to-Speech Voice AIAI Development

Turning Google Colab into an API Server to Run Speech-to-Speech Voice AI

This PoC turns Google Colab into a temporary WebSocket server for speech-to-speech AI. It combines faster-whisper large-v3, Gemini 2.5 Flash-Lite, VOICEVOX and Silero VAD, then improves latency through sentence buffering, streaming responses and parallel TTS generation.

Nihei Tomotaka
What We Learned Building Voice AI with Gemini: The Major Difference Between a PoC and a Commercial ServiceAI Development

What We Learned Building Voice AI with Gemini: The Major Difference Between a PoC and a Commercial Service

A Gemini Live API PoC can deliver real-time voice conversations quickly, but production introduces concurrency, quotas, observability, model lifecycle and device-specific audio issues. This article explains why the architecture moved from direct browser access to LiveKit and Vertex AI.

Nihei Tomotaka
A Concept for Developing AI Through Artificial LanguagesAI Development

A Concept for Developing AI Through Artificial Languages

Can AI learn logic more efficiently through an artificial language than through natural language? This article compares Esperanto, Lojban, and Ithkuil, then presents a custom GPT-2 model trained from scratch on Lojban-based data that achieved 100% accuracy on prepared three-valued logic tests.

Toshihiko Nagaoka
7 AI Image-to-3D Generators I Tested in 2026: Which One Is Actually Worth Using?AI Development

7 AI Image-to-3D Generators I Tested in 2026: Which One Is Actually Worth Using?

Using the same portrait and default settings, we tested Prism 3.1, Meshy 6, Tripo P1, Hunyuan3D, Forge, Trellis 2 and Rodin 2.5. See how they compare in facial similarity, texture, hair, clothing and mesh quality, plus which tools work best for realism, game assets and further editing.

Thinh Tran
Constellation Recognition: GNN + Symbolic AI — Developing a Hybrid ModelAI Development

Constellation Recognition: GNN + Symbolic AI — Developing a Hybrid Model

We developed a hybrid AI system that detects, separates, and reconstructs Orion, Cassiopeia, and the Big Dipper from noisy, rotated, and scaled point clouds. It combines geometric signatures, an edge-updating GNN, and symbolic graph-isomorphism constraints, reaching a test macro F1 score of 96.91%.

Toshihiko Nagaoka
What Is Function Calling? How AI Agents Work and How to Implement Them with LangGraphAI Development

What Is Function Calling? How AI Agents Work and How to Implement Them with LangGraph

Learn how Function Calling lets LLMs use external tools instead of performing every task themselves. This guide covers tool-use architecture, the evolution of coding agents, Structured Outputs, and a practical LangGraph and TypeScript implementation of the reasoning-and-action loop.

Toshihiko Nagaoka
Will AI Reduce Employment in Vietnam?AI Development

Will AI Reduce Employment in Vietnam?

Will AI reduce jobs in Vietnam? VFA's COO discusses the real impact of generative AI on offshore development and the "self-destructive curiosity" needed for the next era.

Vitalify Asia Team
AI Economist: Reinforcement Learning in EconomicsAI Development

AI Economist: Reinforcement Learning in Economics

Experimenting with the AI Economist API to simulate free markets and communism using Reinforcement Learning (RL) agents.

Vitalify Asia Team
MAL FaceEmotion: Real-Time Facial Emotion Recognition AIAI Development

MAL FaceEmotion: Real-Time Facial Emotion Recognition AI

Introducing MAL FaceEmotion, an AI tool that quantifies facial expressions in real-time to visualize human emotions.

Vitalify Asia Team
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