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All digests tagged Agent Systems
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Optiver details how its on-prem AI platform handles the immediate, high-stakes P&L feedback loop of trading. Learn about the Inference Gateway, Meta Harness, and Agent Swarm architecture.
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Learn about AutoResearch: an agent-driven loop that automates code proposals and evaluations to optimize ML models. We demonstrate Mini Parameter Golf, a scaled-down challenge for inspecting complex optimization processes.
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Jean-Denis Greze argues that multi-agent systems should be reframed as search problems. The core challenge is privacy, which limits the LLM's access to all world data.
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Go-to-market must be treated as an AI engineering problem. The core thesis is that GTM is fundamentally a data problem, requiring the creation of a 'live model of your world' that autonomous agents can act upon.
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Yu Su argues that scaling AI requires moving beyond raw intelligence. True capability comes from 'Expertise,' which is achieved through continual learning to master specialized, complex domains.
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