Author: Vicki Powell

Neural Scaling in NLP: How Compute Predicts LLM Performance

Discover how neural scaling laws predict LLM performance using compute, data, and parameters. Learn from GPT-3's size focus to Chinchilla's data balance and the new era of inference-time reasoning.

Automotive Generative AI: Design, Diagnostics, and Connected Experiences

Discover how generative AI is transforming automotive design, diagnostics, and connected experiences. Learn about the tech, challenges, and future of smart cars.

Cross-Lingual Fine-Tuning: How to Adapt LLMs for New Languages in 2026

Learn how to adapt Large Language Models to new languages using cross-lingual fine-tuning. Explore advanced methods like X-CIT and CrossAlpaca for better multilingual AI performance.

Instruction Tuning for LLMs: How to Build Better AI Followers

Learn how instruction tuning transforms base LLMs into reliable AI assistants. Discover practical workflows, LoRA efficiency tips, and how to avoid common pitfalls in 2026.

How to Build Custom Benchmarks for Enterprise LLMs: A Practical Guide

Learn how to build custom benchmarks for enterprise LLMs. Move beyond generic tests to evaluate accuracy, compliance, and ROI with practical frameworks and real-world data strategies.

Calibration and Confidence Metrics for Large Language Models: A Practical Guide

Learn how to measure and improve LLM calibration using metrics like ECE and Brier Score. Understand the alignment-calibration tradeoff and implement practical techniques for trustworthy AI.

Domain-Driven Design with Vibe Coding: Bounded Contexts and Ubiquitous Language

Combine Domain-Driven Design with vibe coding to avoid context collapse. Learn how bounded contexts and ubiquitous language keep AI-generated code clean, scalable, and maintainable.

LLM Training Failures: Common Modes and How to Fix Them

Explore common LLM training failures like synthetic data risks, hallucinations, and hardware crashes. Learn practical fixes to improve model reliability and reduce wasted compute.

Procurement Checklists for Vibe Coding Tools: Security and Legal Terms

A comprehensive procurement checklist for vibe coding tools, focusing on security protocols, legal compliance, and enterprise adoption strategies.

How to Verify LLM Facts: Online Strategies and Tools for 2026

Explore the best online verification strategies for evaluating LLM factuality in 2026. Compare tools like OpenFactCheck and FactScore, learn implementation tips, and understand the limits of automated fact-checking.

Error Messages and Feedback Prompts That Help LLMs Self-Correct

Learn how to use error messages and feedback prompts to enable LLM self-correction. Discover proven techniques to reduce errors by 45% and improve AI reliability in production.

Reusable Prompt Snippets for Common App Features in Vibe Coding

Master vibe coding with reusable prompt snippets. Learn how to build modular prompts for auth, APIs, and UIs to cut development time by 42% and eliminate repetitive AI interactions.