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// Z.SHINCHVEN
The Architecture of Prompt Sequencing: Positional Dynamics and Instructional Hierarchy in Large Language Models
An in-depth exploration of how the spatial arrangement of instructions, context, and queries within a prompt determines LLM performance, and practical strategies to overcome positional bias.
// Z.SHINCHVEN
Text Chunking Strategies for RAG: A Comprehensive Guide
A comprehensive guide to six text chunking strategies for Retrieval-Augmented Generation, from fixed-size splitting to late chunking, with practical trade-offs and benchmarks.
// Z.SHINCHVEN
The 'Strawberry' Trap: Why Your Production Agent Shouldn't Touch the Database
A cautionary guide on why you should never give your production AI agent direct access to your database and how to build a secure abstraction layer.