Tag: prompt engineering
Debugging Large Language Models: Diagnosing Errors and Hallucinations
Debugging large language models requires new techniques beyond traditional coding. Learn how hallucinations happen, how to diagnose them with prompt tracing, SELF-DEBUGGING, and LDB, and why data quality matters more than ever.
Prompt Engineering for Large Language Models: Core Principles and Practical Patterns
Prompt engineering is the art of crafting precise inputs to get the best results from large language models. Learn core principles like few-shot prompting, chain-of-thought, and RAG-and how small changes in wording can dramatically improve AI output.
Vibe Coding Glossary: Key Terms for AI-Assisted Development in 2026
Discover essential vibe coding terms for AI-assisted development in 2026. Learn about prompt engineering, comprehension gap, and how to safely leverage AI for faster coding without compromising security.
Few-Shot Prompting Patterns That Boost Accuracy in Large Language Models
Few-shot prompting boosts LLM accuracy by 15-40% using just 2-8 examples. Learn the patterns that work, when to use them, and how they beat fine-tuning in cost and speed.
