Prompt Engineering
Prompt engineering is the skill of writing instructions that get reliable output from large language models. AIWeekly's guides cover the fundamentals plus the advanced techniques teams use in production.
Latest on Prompt Engineering
AI Agents Challenge Workflow Automation's Dominance
The rise of AI agents, exemplified by OpenAI's Workspace Agents and Claude's agentic features, is prompting a re-evaluation of traditional workflow automation tools. This shift raises crucial questions about their respective strengths, applications, and the future of business process management.
AIWeekly Exclusive: New Coreset Selection Method Promises More Efficient LLM Benchmarking
A groundbreaking new approach to Large Language Model (LLM) benchmarking, dubbed 'evaluation-unsupervised prompt subset selection', is set to revolutionise how models are assessed. This method, detailed in a recent arXiv paper, enables the selection of a small, representative subset of prompts that accurately reflect the performance and ranking of LLMs across entire benchmark suites, all without relying on prior evaluation outcomes.
Frequently asked questions
Is prompt engineering still relevant?
Yes. As models improve, prompts get shorter but the discipline of structuring context, examples and constraints remains critical for reliability.
Where can I get a custom prompt built?
AIWeekly's Prompt Studio delivers custom prompts across three tiers — standard, professional and AI system prompt.