Tag: prompt engineering
Few-Shot vs Fine-Tuned Generative AI: How Product Teams Should Choose
Product teams need to choose between few-shot learning and fine-tuning for generative AI. This guide breaks down when to use each based on data, cost, complexity, and speed - with real-world examples and clear decision criteria.
Prompt Hygiene for Factual Tasks: How to Write Clear LLM Instructions That Don’t Lie
Learn how to write precise LLM instructions that prevent hallucinations, block attacks, and ensure factual accuracy. Prompt hygiene isn’t optional - it’s the foundation of reliable AI in high-stakes fields.
NLP Pipelines vs End-to-End LLMs: When to Use Each for Real-World Applications
Learn when to use traditional NLP pipelines versus end-to-end LLMs for real-world applications. Discover cost, speed, and accuracy trade-offs - and why hybrid systems are becoming the industry standard.