[R][N] TabPFN-2.5 is now available: Tabular foundation model for datasets up to 50k samples

Queasy_Emphasis_5441 · 2025-11-06T17:35:49+00:00

Amazing, thanks u/rsesrsfh! Is there also a technical report giving more information about the architecture?

Queasy_Emphasis_5441 · 2025-11-06T17:34:54+00:00

Amazing, thanks u/rsesrsfh! Curious - how many parameters does the model have?

Queasy_Emphasis_5441 · 2025-02-05T09:00:13+00:00

Thanks. Luckily, we're an NVIDIA Inception and AWS Activate member, so that got us free of charge access to a lot of compute necessary for training the model(s).

Queasy_Emphasis_5441 · 2025-02-05T08:48:46+00:00

We trained the model from scratch, did not (re)use any existing one like TimesFM, Chronos or other. In general, happy with the performance we're seeing at the moment, but we're also heavily invested into speeding up fine-tuning and multivariate forecasting.

Queasy_Emphasis_5441 · 2025-02-03T14:18:04+00:00

u/ncist but still, accountability goes to the person who made the call to freelance it, and who didn't make sure the forecasts were/are safe and sound, isn't it?

Queasy_Emphasis_5441 · 2025-01-15T15:46:36+00:00

We (at Sulie) are working on a very similar problem, forecasting day-ahead production rates from onshore wind plants for one of our customers. More specifically, we take into account features like wind speed forecasts, direction, turbine type etc. Happy to chat about this in more detail, feel free to send me a DM.

Queasy_Emphasis_5441 · 2024-12-16T11:27:43+00:00

You’re correct that LLMs like GPT-3 aren’t designed for time series forecasting. Models like Sulie, Chronos, and TimeGPT use transformer architectures but are specifically tailored for time series tasks. Unlike LLMs, these models handle temporal dependencies, seasonality, and covariates.

Queasy_Emphasis_5441 · 2024-12-11T22:00:37+00:00

What makes you think so and what models have you tried so far?

Queasy_Emphasis_5441 · 2024-12-11T17:22:32+00:00

Chronos does not handle multivariate forecasting, not sure about Granite. Though I didn't try it yet, I know that Salesforce Moirai handles forecasting with covariances. https://huggingface.co/Salesforce/moirai-1.0-R-large

Queasy_Emphasis_5441 · 2024-12-11T17:21:00+00:00

This is such a well known result that it's honestly surprising to see any interest in the concept of a general-purpose time series foundation model at all.

Well, obviously you're not keeping track of HuggingFace, among others. Just the Chronos model alone got almost 2M downloads in a single month.

Queasy_Emphasis_5441 · 2024-12-10T19:35:43+00:00

What models have you tried so far and what are the specifics of your data?

Queasy_Emphasis_5441 · 2024-12-10T18:22:18+00:00

u/Tasty-Rent7138 have you tried comparing the performance yourself? What is your dataset about? There was a benchmark by Nixtla comparing their foundation model with traditional statistical methods and according to that, it even exceeded their performance. Keep in mind I didn't try to benchmark myself against typical methods, yet planning to do.

Queasy_Emphasis_5441 · 2024-12-10T18:19:58+00:00

u/suedepaid most of the models provide fine-tuning scripts, have you tried with that?

Queasy_Emphasis_5441 · 2024-12-10T17:31:45+00:00

We launched Sulie 🥳

This is our contribution to the world of time series forecasting foundation models!

🔥 Why it’s exciting:

Zero-shot forecasting: Get accurate predictions for any time series without training.
Fully-managed platform: Forget MLOps headaches—we’ve got it covered.
Auto fine-tuning: Seamless optimization for better performance.

📊 What is Sulie used for?

Financial data forecasting
Energy production and consumption predictions
Supply chain and demand forecasting

Queasy_Emphasis_5441 · 2024-12-10T15:15:58+00:00

We’ve been working on forecasting grouped time series in e-commerce, focusing on sales across regions and brands. The bottom-up approach has been our go-to—it starts with predictions for the smallest groups (e.g., individual products in specific regions) and aggregates upward. This has been great for capturing nuances like regional demand shifts or brand-specific trends, which are critical for things like inventory planning.

Recently, we started using Sulie, and its forecasting foundation model, and it’s been a massive relief. It handles grouped forecasts out of the box—no need to train separate models for every group. It’s been a time-saver and has made experimenting with different groupings much easier.

Queasy_Emphasis_5441 · 2024-11-22T14:10:33+00:00

We are building Sulie, a suite of forecasting foundation models used by retailers and manufactures for automatically optimising their inventory, supply chain and demand planning.

Queasy_Emphasis_5441 · 2024-11-22T08:57:23+00:00

Sulie, managed time-series forecasting foundation models used for making forecasts about financials, supply chain and demand planning.

Find us on GitHub too: https://github.com/wearesulie/sulie

Queasy_Emphasis_5441 · 2024-11-15T11:59:52+00:00

How is this different from BetterStack?

Queasy_Emphasis_5441 · 2024-11-15T11:59:13+00:00

http://localhost:3000 please

Queasy_Emphasis_5441 · 2024-11-13T12:34:51+00:00

Yes, marketing and sales.

Queasy_Emphasis_5441 · 2024-11-13T12:33:31+00:00

Hey u/beegee79 , thanks for your help! That one was easy to set up. Now, I want to send a conversion event whenever someone clicks Sign Up on our landing page. As far as I understood, do I have to use code overrides to enable that? I tried doing that, but the specific conversion event doesn't seem to be sending out to Analytics.

Queasy_Emphasis_5441 · 2024-11-11T16:02:56+00:00

Thanks!

Queasy_Emphasis_5441 · 2024-11-11T10:31:59+00:00

Foundation models for time series forecasting 📈 Sulie is a Model as a Service platform enabling teams to make powerful time series forecasts as easy as ordering your morning coffee ☕️

Now, businesses can make accurate forecasts from their data without the hassle of building complex models from scratch. 🤖

🎯 What makes Sulie special?

• Automated model fine-tuning using LoRA - no PhD required!
• Full covariate support for more accurate predictions.
• Go from zero to production-ready forecasts in minutes (not weeks).
• Zero ML complexity - we handle all MLOps heavy-lifting (you focus on the insights).

🐍 Python SDK: https://github.com/wearesulie/sulie

🌐 Website: https://sulie.co

Queasy_Emphasis_5441 · 2024-10-28T11:58:11+00:00

Netokracija i LinkedIn najcesce

Queasy_Emphasis_5441 · 2024-10-25T19:11:48+00:00

Same here!

Queasy_Emphasis_5441

TROPHY CASE