Topic
Ensemble Methods
2 episodes
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Introducing TabFM: A zero Shot foundation model for tabular data
Justy and Cody examine TabFM, Google Research’s zero-shot foundation model for tabular classification and regression. They unpack its hybrid row-column attention design, synthetic-data training, TabArena evidence, the trade-off between out-of-the-box convenience and tuned ensembles, and whether BigQuery integration could make this genuinely useful in everyday data workflows.
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Micro Agent: Beat Frontier Models with Collaboration inside Model API
Justy and Cody dig into vLLM Semantic Router's Micro-Agent argument: the real product isn't a bigger model, it's a router that turns one model call into a bounded collaboration loop. They like the serving-layer abstraction, push on where the benchmark story is still thin, and land on who should actually care right now.