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Inside LinkedIn's cognitive memory agent for agentic personalization

Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized…

  • LinkedIn developed a cognitive memory agent for personalized recruiter experiences.
  • The agent utilizes four layers of memory: conversation, semantic, episodic, and procedural.
  • These layers enable deep personalization and context-awareness for recruiters.

A Runaway Prompt Is a Tenant: Fair Scheduling on a Shared Free Endpoint

A Runaway Prompt Is a Tenant: Fair Scheduling on a Shared Free Endpoint Trouble started with an eleven-second timeout on a request I had already given up on.

  • Runaway prompt consumes shared context budget on endpoint
  • Scheduler enforces context budget, fair queue, stall detection
  • Scheduler limits blast radius, requires checkpointing for long tasks

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