
Explaining complex AI models as clear as daylight. Focusing on time series and latest AI research.
| Platform | Pricing | Freemium | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 61 | Founded | 3 years ago | Last Issue | 21 days ago |
| Active | |||||

A head-to-head regression benchmark of Nori-30M, TabPFN-3, TabICL-v2, and TabFM against tuned and untuned CatBoost.
In our last benchmark, tabular foundation models outperformed fully tuned CatBoost on classification.
A head-to-head benchmark of TabPFN-3, TabICL-v2, and TabFM against tuned and untuned CatBoost.
In Part 1, we introduced the 3 tabular foundation models and went through the settings that most affect their results.
The pretrained models beating gradient boosting come with hidden settings. A guide to TabPFN-3, TabICL-v2, and TabFM
Tabular foundation models arrived with a simple promise. No training, no tuning, and we get predictions that beat a tuned...
Toto-2.0 is a top-tier foundation model - here is how to actually leverage its full potential
Toto-2.0 currently sits at the top of the foundation-model tier on the GIFT-Eval leaderboard. The model shows real capability across a wide range...
Toto-2.0 sets a new bar for time series foundation models.
In previous articles, we covered Toto-2.0 through practical tutorials, sharing a Retail Forecasting walkthrough and exploring the BOOM and TIME benchmarks.
Now it’s time to look a...
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The writers behind this newsletter.
Data Scientist at Persado • Making AI simple
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