Machine learning deployment reinvented: Autoscale GPU nodes on Kubernetes + KEDA for cost savings & peak performance!

Discover how AImagine is redefining image generation with hyperrealistic results and unparalleled customization.

Learn from our proof of concept that allows you to have a video call with ChatGPT. We added an avatar to the Large Language Model (LLM) to enable users to interact via chat on multiple topics.

Unlocking the potential of data: From ultra-realistic AI voices to game-changing tools. Dive into a case study on Báo Nói Application, an innovative Vietnamese TTS dataset.

Delve into crafting an effective strategy by assessing the relevance of AI and ML for your business. Gain practical insights from the Tanoto Project, offering valuable lessons on integrating artificial intelligence and machine learning into your applications/solutions through the ML engineering process.

Dive into insights and practical guidance on integrating AI and machine learning models into various development projects tailored for developers regardless of their AI background.

Discover the key factors of Problem Framing in building successful AI/ML applications. Our comprehensive question framework provides the perfect starting point for your AI initiatives, supported by a practical illustration from our Tanoto AI interviewer project.

This blog will take you through the Quality Assurance Strategies for Testing AI-based Systems. You will learn the challenges and the key aspects that can elevate your testing approach and ensure the reliability of AI systems.

This in-depth exploration of prompt engineering best practices showcases a real-world AI storyboarding project. We'll demonstrate how applying clear strategies and iterative refinement techniques significantly enhances the quality and coherence of AI-generated narratives.

In this article, we explore 4 key pillars for deploying Generative AI using the corporation’s own data. By integrating a robust data strategy, skilled talent, clear application plans, and proactive risk management, you can turn AI ambition into real, measurable business success.

Confused by LLMs, RAG, & AI Agents? We break down the spectrum of AI system design with a familiar resume-screening example to show the leap in capabilities (and complexity) at each level.

Curious what sets a top-tier AI & ML Engineer? It involves more than evaluating resumes or checking for framework fluency. This guide outlines the four essential skills every AI & ML Engineer needs to thrive in real-world projects.

If you’ve been following the exciting developments in AI, you may have encountered the Model Context Protocol, or MCP. This article uses a real-time weather query via the Claude Desktop App to walk through how MCP works under the hood, step by step.