Uploaded August 2026 | Updated September 2026, 2 weeks ago
"LLMs aren’t going to understand what an embedding means. These are just numbers."
Sudeep Das (Head of ML/AI at DoorDash) breaks down why agentic recommendation systems are shifting from numerical expressions to language-native memory snippets.
Instead of relying on opaque vectors, passing semantic, text-based context allows downstream LLMs and agents to actually understand consumer behavior.
🔗 Watch the full presentation with transcript: bit.ly/3UW9Cko
#InfoQ #QConAI #MachineLearning #LLMs #AIAgents #VectorSearch #RecommendationSystems #DoorDashEngineering #DataEngineering #SoftwareArchitecture
"LLMs aren’t going to understand what an embedding means. These are just numbers."
Sudeep Das (Head of ML/AI at DoorDash) breaks down why agentic recommendation systems are shifting from numerical expressions to language-native memory snippets.
Instead of relying on opaque vectors, passing semantic, text-based context allows downstream LLMs and agents to actually understand consumer behavior.
🔗 Watch the full presentation with transcript: bit.ly/3UW9Cko
#InfoQ #QConAI #MachineLearning #LLMs #AIAgents #VectorSearch #RecommendationSystems #DoorDashEngineering #DataEngineering #SoftwareArchitecture










