Tag: chain-of-thought
Debugging Prompts: Systematic Methods to Improve LLM Outputs
Learn systematic methods to debug LLM prompts, from task decomposition and RAG to mathematical steering, to ensure reliable and accurate AI outputs.
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.
