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A decoder-only foundation model for time-series forecasting
Google Research
Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance,...
6 months ago
TimeGPT: The First Foundation Model for Time Series Forecasting
Towards Data Science
The field of time series forecasting is going through a very exciting period. In only the last three years, we have seen many important...
9 months ago
AI Startup Nixtla Launches TimeGPT, Allowing Any Organization to Perform Time-Series Forecasting With Just Three Lines of Code
Yahoo Finance
TimeGPT does for forecasting models what OpenAI has done for language models – make them accessible to anyone. Time-series forecasting...
2 weeks ago
Google AI Introduces AutoBNN: A New Open-Source Machine Learning Framework for Building Sophisticated Time Series Prediction Models
MarkTechPost
GoogleAI researchers released AutoBNN to address the challenge of effectively modeling time series data for forecasting purposes.
4 months ago
Exploring the Latest Advances in Foundation Time-Series Models | by Nikos Kafritsas | Jul, 2024
Towards Data Science
Recent advances in foundation time-series models are groundbreaking. TimeGPT was the first native foundation model.
2 weeks ago
Can ChatGPT predict the future? Training AI to figure out what happens next
ZDNet
Time series data is useful for things such as predicting weather, medical events, or financial changes, and generative AI can model such...
9 months ago
Forecasting Gold Prices with TimeGPT | by Nikhil Adithyan | Jun, 2024
DataDrivenInvestor
Gold has long been considered a valuable commodity and a safe-haven asset for investors. Accurate forecasting of gold prices is crucial for...
1 month ago
Unleashing the Power of Generative AI for Tabular & Time Series Data Analysis
AI Business
Tabular and time series data is the heartbeat of modern business, containing invaluable insights into trends, patterns, and anomalies across sales...
5 months ago
Large Language Model Performance in Time Series Analysis
Towards Data Science
While LLMs clearly excel in natural language processing tasks, their ability to analyze patterns in non-textual data, such as time series...
3 months ago
Google Research Introduces TimesFM: A Single Forecasting Model Pre-Trained on a Large Time-Series Corpus of 100B Real World Time-Points
MarkTechPost
Time Series forecasting is an important task in machine learning and is frequently used in various domains such as finance, manufacturing,...
5 months ago