N-Gram House

Natural Language to Schema: Prompting Databases and ER Diagrams

Explore how Natural Language to Schema (NL2Schema) transforms database design by converting plain English prompts into structured ER diagrams and SQL schemas. Learn about accuracy benchmarks, implementation challenges, and best practices for using LLMs in data architecture.

How to Achieve Reproducible Builds with Version Pinning and Lockfiles

Learn how to eliminate "it works on my machine" errors using version pinning and lockfiles to create deterministic, reproducible software builds.

Emergent Abilities in NLP: Understanding How LLMs Develop Reasoning

Explore emergent abilities in LLMs-the phenomenon where AI develops complex reasoning skills suddenly as it scales, without explicit training.

How to Build and Run AI Ethics Boards for Development Decisions

Learn how to establish and manage AI Ethics Boards to ensure your AI development is fair, transparent, and legally compliant while avoiding costly reputational risks.

Security Code Review for AI Output: Checklists for Verification Engineers

Expert guide for verification engineers on auditing AI-generated code. Includes detailed security checklists, SAST integration strategies, and vulnerability patterns.

Decoder-Only vs Encoder-Decoder Models: Choosing the Right LLM Architecture

Should you use a Decoder-Only or Encoder-Decoder LLM? Learn the key technical differences, performance trade-offs, and how to pick the right architecture for your AI project.

Localization Prompts for Generative AI: A Guide to Global Content Adaptation

Learn how to use localization prompts for Generative AI to adapt content across regions. Improve cultural accuracy and reduce translation errors with expert prompt techniques.

Scaling Multilingual LLMs: How to Balance Data for Better Performance

Learn how to use scaling laws to balance data in Multilingual LLMs, reducing performance gaps between high and low-resource languages while saving compute.

LLM Use Cases for Financial Risk and Compliance: A Practical Guide

Explore how LLMs are transforming financial risk and compliance. Learn about fraud detection, RAG systems, FinLLMs, and how to navigate regulatory guardrails in 2026.

OWASP Top 10 for Vibe Coding: AI-Specific Examples and Fixes

Stop letting AI create security holes in your apps. Learn how to map vibe coding to the OWASP Top 10 with real examples and fixes to keep your code secure.

Schema-Constrained Prompts: How to Force Valid JSON and Structured LLM Outputs

Learn how to force LLMs to produce valid JSON using schema-constrained prompts and constrained decoding to eliminate parsing errors in production pipelines.