#Prompting
3 notas · última:
9 Observations from Building with AI Agents
The author shares nine lessons from building AI agent systems, covering model choice, fine-tuning, static typing, team critique loops, prompt management, logging, and the cost-performance tradeoffs of current models.
An AI engineer’s tips for writing better AI prompts
The article says better prompts come from more detail, personas, examples, and step-by-step tasks. It also warns that AI output still needs review and editing.
LLMs reward expertise
The post argues that the main skill in prompting is domain knowledge. Expert users can steer LLMs harder, spot odd answers, and get more useful results than people who only know general prompting tips.