from SHIFT ASIA

AI

27 posts
Discover Knowledge Swapping via AI Approach Learning and Unlearning
MLOps
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Discover Knowledge Swapping via AI Approach Learning and Unlearning

This blog will introduce an innovative AI approach that combines learning new knowledge and learning before forgetting to help models adapt to new information while discarding outdated or sensitive da
Timo
Timo
Evaluating Vector Search Quality: A Practical Guide for Developers
AI
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Evaluating Vector Search Quality: A Practical Guide for Developers

Vector databases and embeddings have become core infrastructure for AI applications–search, RAG, recommendations, anomaly detection, and more. But while building a vector search system is straightforw
MINATO Nguyen
Understanding MCP: The Model Context Protocol for AI Agents
AI
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Understanding MCP: The Model Context Protocol for AI Agents

In the rapidly evolving landscape of Large Language Models (LLMs), the ability to establish dependable communication between models and external systems has become a critical necessity. The Model Cont
TERRY
Vector Databases - Explained for Developers
AI
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Vector Databases - Explained for Developers

As AI systems become more powerful, they also need smarter ways to store and search information. Traditional databases–build for rows, columns, and exact matching–struggle when dealing with meaning. T
MINATO Nguyen
Using Copilot Like Your Personal Mentor in VSCode – A Step-by-Step Guide
AI
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Using Copilot Like Your Personal Mentor in VSCode – A Step-by-Step Guide

When I first used GitHub Copilot, I only thought it was a tool that helps autocomplete code. You know… you type half a function, and it magically finishes it for you. But after a while, I realized som
Neji
Evaluating LLM Outputs: Beyond Simple Metrics
AI
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Evaluating LLM Outputs: Beyond Simple Metrics

Traditional metrics like BLEU, ROUGE, or perplexity fall short when evaluating modern Large Language Models (LLMs). These metrics, originally designed for machine translation and summarization, cannot
TERRY
Understand AI via One Diagram: Build Handbook Chat with RAG
AI
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Understand AI via One Diagram: Build Handbook Chat with RAG

Build an AI-powered Handbook Chat that answers employee questions with real citations and zero hallucinations. This practical guide breaks down the complete RAG (Retrieval-Augmented Generation) pipeline into one visual diagram — from document chunking to semantic search to guardrailed LLM responses
Yami
Yami
Practical Tips to Use AI More Effectively in Software Development
AI
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Practical Tips to Use AI More Effectively in Software Development

AI has become a standard part of the modern developer’s workflow—but how you use it determines whether it boosts your productivity or slows you down. Here are ten practical, battle-tested tips to get
Tinker
Fine-tuning vs. Prompt-tuning: When to Use Which
AI
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Fine-tuning vs. Prompt-tuning: When to Use Which

In the rapidly evolving world of AI and natural language processing (NLP), adapting pre-trained models to specific tasks is essential for achieving optimal performance. Two popular strategies dominate
MINATO Nguyen
Standardize Your Project with Simple AI Prompting Techniques
AI
members

Standardize Your Project with Simple AI Prompting Techniques

In the fast-paced world of software development, maintaining consistency and efficiency across projects can be a challenging task. The rise of many "vibe coding" developers, those who prioritize creat
Fred Pham
Fred Pham