Podcast: Context Engineering with Adi Polak
📰 InfoQ AI/ML
Adi Polak discusses context engineering for LLMs and agentic systems on the InfoQ AI/ML podcast
Action Steps
- Understand the limitations of prompt engineering techniques
- Learn about the benefits of context engineering for stateful AI systems
- Explore how context engineering can be applied to LLMs and agentic systems
- Consider the implications of context engineering for AI system design and development
Who Needs to Know This
AI engineers and researchers can benefit from understanding context engineering to improve their LLM and agentic system designs, while product managers can apply this knowledge to develop more effective AI-powered products
Key Insight
💡 Context engineering allows AI systems to maintain state and context, improving their performance and effectiveness
Share This
💡 Context engineering enables stateful AI systems, going beyond prompt engineering's stateless approach
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