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Implementing 'Autonomy' in AI Agents: 4 Agentic Workflow Design Patterns
From 'Better Models' to 'Better Flows'. Explaining Andrew Ng's 4 AI agent design patterns (Reflection, Tool Use, Planning, Multi-agent) and showing the path to implementation.
The Era of Reasoning AI - How OpenAI o1 and System 2 Thinking are Evolving AI
An explanation of reasoning AI models represented by OpenAI o1. This article introduces the differences from conventional LLMs, the implementation of System 2 thinking, and practical usage methods.
Prompt Engineering Practical Techniques - From Basics to Advanced Patterns
Master prompt engineering with practical techniques. Covers zero-shot, few-shot, chain-of-thought, and advanced patterns with code examples. Improve your LLM application quality today.
Complete Guide to LLM Development Pitfalls - 7 Failure Patterns and Solutions
Why does LLM development fail? This article thoroughly explains 7 common failure patterns from data preprocessing to production deployment, with specific solutions. Essential reading for engineers and project managers.
LLM Fine-Tuning Practical Guide - Building Custom Models Efficiently with LoRA/QLoRA
Implement large language model fine-tuning using LoRA/QLoRA. Learn how Parameter-Efficient Fine-Tuning (PEFT) works and how to implement it even with a single GPU. Practical implementation guide included.