PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents

1. 1Identify private environment data that cannot be exposed to the cloud
2. 2Develop planning abstractions using PlanTwin to ensure privacy preservation
3. 3Implement cloud-assisted LLM agents with PlanTwin to enable secure planning and execution
4. 4Evaluate the performance and security of PlanTwin in various deployment scenarios

AI engineers and researchers working on LLM agents can benefit from PlanTwin to ensure privacy and security in cloud-assisted planning, while product managers and entrepreneurs can apply this technology to develop secure and private AI-powered products

💡 PlanTwin enables secure and private planning for LLM agents in cloud-assisted environments

🔒 Introducing PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents