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Notes on ai performance
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A corpus-specific clinical RAG system matches or outperforms newer frontier LLMs on HealthBench
A research study compared the performance of VITA, a specialized clinical AI tool for low- and middle-income settings, with various frontier large language models (LLMs) on the HealthBench benchmark. The study found…
Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows
A study investigates if LLM (Language Model) generated skills improve the performance of AI data scientists in various tasks across four lifecycle stages: data preparation, data extraction, statistical analysis, and…
Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study
A study compared different agentic coding assistants and their abilities in building a real-time retrospective board. The results showed that the level of reasoning effort, rather than access to additional tools or…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
