Articles on #Prompt Engineering

Aug 30, 20269 min read

RAG Is Not a Silver Bullet: 7 Failure Modes We Hit Shipping a Production Retrieval Pipeline

A RAG demo answering questions correctly over ten hand-picked documents proves almost nothing about how it behaves over a real corpus. Seven concrete ways retrieval-augmented generation breaks in production, and what actually fixes each one.

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DeepSeek-R1 Architecture: How Mixture of Experts (MoE) & Reasoning Fine-Tuning Scale Intelligence

AI & LLMs

Jul 23, 202611 min read

DeepSeek-R1 Architecture: How Mixture of Experts (MoE) & Reasoning Fine-Tuning Scale Intelligence

Unpacking DeepSeek-R1's Multi-head Latent Attention (MLA), DeepSeekMoE 210B sparse routing, and group relative policy optimization (GRPO) reinforcement learning.

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RAG Cache Strategies: Semantic Caching with Redis and Sentence Transformers

AI & LLMs

Jul 21, 20268 min read

RAG Cache Strategies: Semantic Caching with Redis and Sentence Transformers

Avoid repeating $0.03 LLM queries by matching semantically similar user prompts in vector cache before hitting API endpoints.

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Agentic RAG with Router Agents and Dynamic Tool Calling

AI & LLMs

Jul 20, 20269 min read

Agentic RAG with Router Agents and Dynamic Tool Calling

Moving beyond naive vector lookup: building adaptive multi-agent retrieval routers that decide when to query vector databases vs SQL databases.

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Prompt Security: Defending Against Indirect Prompt Injection in Production LLM Apps

AI & LLMs

Jul 18, 20268 min read

Prompt Security: Defending Against Indirect Prompt Injection in Production LLM Apps

How malicious instructions hidden inside scraped web pages or user uploaded PDFs can hijack your LLM agent's execution flow.

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