Swati Sisodia
I build GenAI and agentic systems, distributed backend services, and large-scale ML infrastructure. This is where I write about what I'm building and learning.
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View all →Context window management compared
I compared four ways to decide what actually stays in a model's context window when there's more content than comfortably fits. One technique failed as a clean step function, not a gradual decline. Another failed completely, 16 times out of 16, whenever the fact it needed got summarized away.
Evaluation criteria across LLM, RAG, and agent systems
A framework for which evaluation metrics actually matter across four system shapes, plain LLM, RAG, single agent, multi-agent, then tested for real: the same task run through all four, where single-shot retrieval tied the winning multi-agent system while doing a fraction of the work.
Agentic architectures compared
I built five ways to structure a multi-step AI agent and compared them on the same task. The design that re-plans after every step, the one that sounds smartest on paper, never once decided on its own that it was done, in 40 separate tries.