Tag: chain-of-thought

Reasoning-Capable Large Language Models: How Internal Thinking Changes AI

by Phillip Ramos

Discover how reasoning-capable LLMs like DeepSeek-R1 and Qwen3 use internal thinking to boost accuracy. Learn why this shift matters for developers and businesses in 2026.

Few-Shot Prompting Strategies: How to Boost LLM Accuracy and Consistency

by Phillip Ramos

Discover how few-shot prompting boosts LLM accuracy by 15-40%. Learn strategies for selecting examples, avoiding over-prompting, and combining with chain-of-thought for consistent results.

Role, Rules, and Context: Structuring Prompts for Enterprise LLM Use

by Phillip Ramos

Structured prompts using role, rules, and context are the key to reliable enterprise LLM use. Learn how role-based prompting, chain-of-thought reasoning, and iterative testing improve accuracy, reduce hallucinations, and align outputs with business needs.