Prompt Engineering is Dead. Long Live Context-as-Code
📰 Medium · LLM
Learn how Context-as-Code is replacing prompt engineering for directing LLMs and chatbots, and why this shift matters for AI development
Action Steps
- Read about the limitations of prompt engineering
- Explore the concept of Context-as-Code
- Apply Context-as-Code to a simple LLM project
- Compare the results with traditional prompt engineering
- Refine your Context-as-Code approach based on the comparison
Who Needs to Know This
AI engineers and developers can benefit from understanding this new approach to improve their LLM and chatbot development workflows, while product managers can leverage this knowledge to inform their AI strategy
Key Insight
💡 Context-as-Code provides a more structured and scalable approach to directing LLMs and chatbots, compared to prompt engineering
Share This
💡 Context-as-Code is replacing prompt engineering for LLMs and chatbots! #AI #LLM
Full Article
Since the early days of GenAI, when ChatGPT launched in late 2022, we began using prompt engineering to direct chatbots (and later LLMs)… Continue reading on Artificial Intelligence in Plain English »
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