# catboost (audio feeds) — RSS Amplifier Recent posts from the 1 feeds in the RSS Amplifier directory that cover catboost. Page: Feed: --- ## [Nori-30M: A Small Open Model That Beats Tuned CatBoost at Regression](https://aihorizonforecast.substack.com/p/nori-30m-a-small-open-model-that) _2026-08-10 · Nikos Kafritsas · AI Horizon Forecast_ A head-to-head regression benchmark of Nori-30M, TabPFN-3, TabICL-v2, and TabFM against tuned and untuned CatBoost. ## [Do Tabular Foundation Models Actually Beat CatBoost? - Part 2](https://aihorizonforecast.substack.com/p/do-tabular-foundation-models-actually) _2026-08-07 · Nikos Kafritsas · AI Horizon Forecast_ A head-to-head benchmark of TabPFN-3, TabICL-v2, and TabFM against tuned and untuned CatBoost. ## [Tabular Foundation Models Are Not Plug-and-Play - Part 1](https://aihorizonforecast.substack.com/p/tabular-foundation-models-are-not) _2026-08-02 · Nikos Kafritsas · AI Horizon Forecast_ The pretrained models beating gradient boosting come with hidden settings. A guide to TabPFN-3, TabICL-v2, and TabFM ## [Toto-2.0: 5 Silent Failure Modes to Avoid for Full Performance (+Tutorial)](https://aihorizonforecast.substack.com/p/toto-20-5-silent-failure-modes-to) _2026-07-10 · Nikos Kafritsas · AI Horizon Forecast_ Toto-2.0 is a top-tier foundation model - here is how to actually leverage its full potential ## [Toto-2.0: Time Series Forecasting Finally Scales Like LLMs](https://aihorizonforecast.substack.com/p/toto-20-time-series-forecasting-finally) _2026-07-08 · Nikos Kafritsas · AI Horizon Forecast_ 5 model variants, one training recipe, clean scaling from 4M to 2.5B ## [Toto-2.0: Learning to Forecast Sparse Time Series Without Training](https://aihorizonforecast.substack.com/p/toto-20-learning-to-forecast-sparse) _2026-06-25 · Nikos Kafritsas · AI Horizon Forecast_ Understanding, benchmarking, and using a foundation model for sparse and intermittent time series forecasting without training ## [Toto-2.0: The Upgraded Time-Series Foundation Model (+Retail Forecasting Tutorial)](https://aihorizonforecast.substack.com/p/toto-20-the-upgraded-time-series) _2026-06-07 · Nikos Kafritsas · AI Horizon Forecast_ Datadog's new open-weight SOTA model tested on a retail forecasting project. ## [Time Series Foundation Models: A Deep Dive into Strengths and Limitations](https://aihorizonforecast.substack.com/p/time-series-foundation-models-a-deep) _2026-04-24 · AI Horizon Forecast_ What works, what doesn’t, and how to make them work beyond the hype ## [TabICLV2 for Time Series Forecasting: A Complete Tutorial](https://aihorizonforecast.substack.com/p/tabiclv2-for-time-series-forecasting) _2026-04-13 · Nikos Kafritsas · AI Horizon Forecast_ Turning a leading tabular foundation model into a zero-shot forecaster. ## [How to Build an AI Document Assistant App with Docling and LangChain](https://aihorizonforecast.substack.com/p/how-to-build-an-ai-document-assistant) _2026-02-19 · Nikos Kafritsas · AI Horizon Forecast_ Part 3 on integrating a chatbot with your personal document collection ## [Install Manifest V3 Extension (Sponsored)](https://crawlproof.com/a/YQB71pzfZi6z) _2026-02-19 · **Sponsored**_ Get this Manifest V3 extension from the official TronBrowser Store listing. ## [Part 2: Making Documents Searchable with Vector Stores and Retrieval](https://aihorizonforecast.substack.com/p/part-2-making-documents-searchable) _2026-02-09 · Nikos Kafritsas · AI Horizon Forecast_ Building RAG pipelines with Chroma and LangChain ## [Docling: Extracting Structured Data from PDFs and Documents](https://aihorizonforecast.substack.com/p/docling-extracting-structured-data) _2026-02-03 · Nikos Kafritsas · AI Horizon Forecast_ Part 1 on integrating a chatbot with your personal document collection ## [MOIRAI-2 Technical Report: Discussing the Recent Advances in Foundation Time Series Models](https://aihorizonforecast.substack.com/p/moirai-2-technical-report-discussing) _2025-11-29 · Nikos Kafritsas · AI Horizon Forecast_ Exploring the upgraded foundation time series model. ## [Chronos-2: Cold-Start Forecasting with Short Histories and No Training — A Practical Tutorial](https://aihorizonforecast.substack.com/p/chronos-2-cold-start-forecasting) _2025-11-16 · Nikos Kafritsas · AI Horizon Forecast_ An interesting case with the Chronos-2 foundation model ## [Chronos-2: Multivariate Zero-Shot Forecasting with External Covariates](https://aihorizonforecast.substack.com/p/chronos-2-multivariate-zero-shot) _2025-11-14 · Nikos Kafritsas · AI Horizon Forecast_ Amazon Research's upgraded model smashed the benchmarks ## [Chronos-2: Zeroshot Multivariate Forecasting with Covariates — A Practical Tutorial for Retail Forecasting](https://aihorizonforecast.substack.com/p/chronos-2-zeroshot-multivariate-forecasting) _2025-11-06 · Nikos Kafritsas · AI Horizon Forecast_ The popular foundation forecasting model received an upgrade! ## [TimesFM-2.5 + External Covariates: A Practical Retail Forecasting Tutorial](https://aihorizonforecast.substack.com/p/timesfm-25-external-covariates-a) _2025-10-30 · Nikos Kafritsas · AI Horizon Forecast_ Enhancing the popular foundation model with external covariates ## [Transformers, Time Series, and the Myth of Permutation Invariance](https://aihorizonforecast.substack.com/p/transformers-time-series-and-the) _2025-10-17 · Nikos Kafritsas · AI Horizon Forecast_ Beware the false prophets of forecasting! ## [Adapting Time-Series Foundation Models at Inference Time](https://aihorizonforecast.substack.com/p/adapting-time-series-foundation-models) _2025-10-11 · Nikos Kafritsas · AI Horizon Forecast_ TimesFM-ICF: Letting foundation models learn as they predict! ## [Point once, get highlights (Sponsored)](https://crawlproof.com/a/HA9xP16ejdjA) _2025-10-11 · **Sponsored**_ Get minutes worth watching from a whole game — point once ## [TimesFM-2.5: Hands-On Tutorial with Google's Upgraded Forecasting Model](https://aihorizonforecast.substack.com/p/timesfm-25-hands-on-tutorial-with) _2025-10-04 · Nikos Kafritsas · AI Horizon Forecast_ Google's foundation forecasting model received its 3rd upgrade!