Nick Masiewicki
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View article: Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use Open
In this paper, we propose a novel factored agent architecture designed to overcome the limitations of traditional single-agent systems in agentic AI. Our approach decomposes the agent into two specialized components: (1) a large language m…
View article: Project MPG: towards a generalized performance benchmark for LLM capabilities
Project MPG: towards a generalized performance benchmark for LLM capabilities Open
There exists an extremely wide array of LLM benchmarking tasks, whereas oftentimes a single number is the most actionable for decision-making, especially by non-experts. No such aggregation schema exists that is not Elo-based, which could …