Zeitpunkt Nutzer Delta Tröts TNR Titel Version maxTL Do 18.07.2024 09:31:02 61.956 -1 3.554.451 57,4 Fosstodon 4.2.10 500 Mi 17.07.2024 22:00:27 61.957 +1 3.553.476 57,4 Fosstodon 4.2.10 500 Di 16.07.2024 22:01:10 61.956 -1 3.550.157 57,3 Fosstodon 4.2.10 500 Mo 15.07.2024 22:00:36 61.957 +6 3.547.999 57,3 Fosstodon 4.2.10 500 So 14.07.2024 22:00:01 61.951 +1 3.544.794 57,2 Fosstodon 4.2.10 500 Sa 13.07.2024 22:00:00 61.950 +2 3.542.390 57,2 Fosstodon 4.2.10 500 Fr 12.07.2024 22:00:08 61.948 +1 3.539.632 57,1 Fosstodon 4.2.10 500 Do 11.07.2024 22:01:45 61.947 +6 3.537.376 57,1 Fosstodon 4.2.10 500 Mi 10.07.2024 22:00:37 61.941 +12 3.533.951 57,1 Fosstodon 4.2.10 500 Di 09.07.2024 22:00:53 61.929 0 3.530.507 57,0 Fosstodon 4.2.10 500
Eric Book (@erc_bk) · 11/2022 · Tröts: 947 · Folger: 90
Do 18.07.2024 20:06
nixla's TimeGPT is out of beta, and they even made a R package for it. It'll be interesting to see if it lives up to the hype. I like nixla, but I'm skeptical of any forecasting algos involving transformers. Thread: https://x.com/nixtlainc/status/1813917342965117015
Pic of Twitter thread. Claims that TimeGPT-1 ranks first among foundational models in accuracy and speed. Links to documentation.
We are so grateful for our amazing community and all you've shared with us that helped us get to this release and broaden access to forecasting! [ Highlights in the new version: @ New Features: Introduction of timegpt-1-long-horizon for long-term forecasts. Enhanced uncertainty quantification and probabilistic features. Advanced model fine-tuning with diverse loss functions . Support for distributed computing (Spark, Ray, and Dask). Improved accuracy for hourly data. f Improvements: APl now supports much bigger files for large scale forecasting. Faster inference speed, higher reliability with retries and improved error messages. & TimeGPT in R: nixtlar now available on CRAN. i’ TimeGPT for Excel (Beta): forecast and perform anomaly detection in a few clicks in your Excel spreadsheets. TimeGEN in Azure Al Studio: TimeGEN-1 is an optimized version of TimeGPT for the Azure Al model catalog. It is offered as a Model as a Service (MaaS). & Documentation: Revamped layout, new tutorials and use cases including What-if scenarios, intermittent demand, web traffic and energy demand.
@ nixtla @ @nixtlainc /7 We're thrilled to announce the release of the stable version of e This release takes TimeGPT out of beta and makes it broadly available to anyone for fast and easy time-series forecasting. We've added features and improvements, updated documentation, done more benchmarking, added an R package, created an Excel plug-in (in beta), made it available on Azure Al Studio as TimeGEN-1, and made it easy for anyone to get started with our free trial. During the beta phase, we were excited to see that TimeGPT and TimeGEN are working well for people across a wide set of use cases, helping with their forecasting by improving accuracy while reducing the complexity of deployment and time to results. For example, one of the biggest retailers in the world uses us for financial forecasting, a European energy distributor is using Nixtla software for advanced energy prediction models, a non-profit is using TimeGPT to enhance their ability to predict and respond to potential public health threats, and a small retail company is using TimeGPT to improve their staff cost planning. Since implementing TimeGEN, a major manufacturing organization has seen a significant improvement in forecasting accuracy, with errors reduced by nearly 30% on average during periods of high volatility, allowing them to streamline operations and optimize supply-chain efficiency.
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