AI Agents & AI Engineering
Autonomous AI systems — planning, tool use, memory, and multi-agent workflows — together with the engineering practice of designing, evaluating, and operating them.
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Autonomous AI systems — planning, tool use, memory, and multi-agent workflows — together with the engineering practice of designing, evaluating, and operating them.
Interface design and usability for interactive systems that incorporate AI.
Systems and infrastructure for training, serving, and retrieving at ML scale, and the applied research behind them.
Large language model architecture, pretraining, and scaling laws.
Techniques for making model inference faster and cheaper — quantization, batching, latency reduction, and KV-cache management.
Autonomous agents that write, modify, and debug code as part of a software engineering workflow.