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Google and AWS split the AI agent stack between control and execution
β’4 min readβ’
#agenticworkflows#deployment#llm#compute
Level:Intermediate
For:AI Engineers, ML Engineers, AI Product Managers
β¦TL;DR
Google and AWS are developing solutions to manage AI agent stacks, splitting the responsibilities between control and execution, which will simplify the deployment and management of complex multi-agent systems. This development is significant as it marks a shift away from manual stitching of prompt chains and shadow agents, towards more streamlined and scalable AI agent orchestration.
β‘ Key Takeaways
- Google and AWS are creating solutions to manage AI agent stacks, focusing on control and execution.
- The current approach of manually stitching together prompt chains and shadow agents is becoming outdated.
- New options for orchestrating complex multi-agent systems are emerging, enabling more efficient AI agent management.
π‘ Why It Matters
AI engineers should care about this development as it has the potential to greatly simplify the deployment and management of AI agents, allowing for more scalable and efficient AI systems.
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