Eventum AI @EventumAI

We build production AI systems and help ambitious companies hire exceptional AI engineers. LLMs, agents, retrieval, evals, and MLOps. eventum.ai San Francisco Joined October 2026

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Eventum AI @EventumAI

19 hours ago

Fluent on orchestration frameworks, model vendors, prompt patterns and RAG. Then you ask about data leakage, model drift, retraining triggers and validation design, and the floor disappears. We see it in ML hiring: API familiarity reads as ML depth until it is tested.

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Eventum AI @EventumAI

2 days ago

Deepcell's training was bound by labeled data, and manual labeling could not keep pace with the platform. Three of our ML consultants rebuilt the pipeline around self-supervised pre-training. Labeled data needed fell over 90%, training costs over 50%, in two months.

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Eventum AI @EventumAI

3 days ago

For many teams the right first AI hire is an ML engineer: one person who can build the dataset, train the model, ship the inference service, and keep it monitored in production. Deeper specialists come later, once you know which ground actually needs covering.

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Eventum AI @EventumAI

6 days ago

Mass customization without mass fine-tuning. We tested whether @typesafeai Jev can deliver it. Relevant examples raised Jev's accuracy on all four public benchmarks we tried, by 4 to 11 points, no weight updates.

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Eventum AI @EventumAI

2 weeks ago

AI systems now produce original results on open math problems, and tools like Lean can verify a formal proof. They cannot verify that the statement proved is the question someone meant to ask. Part 1 of our Compile-Time Intelligence series: eventum.ai/blog/ai-is-dis…