It took a massive financial investment for the first large language models (LLMs) to be created. Did their corporate backers lock these tools away for all but the richest? No. They provided comodity priced API options for using them. Anyone can talk to Chat GPT or Bing. What if you want to go a step beyond that and do something programatic? Kyle explores your options in this episode.
Forecasting in Supply Chain
Black Friday
Aligning Time Series on Incomparable Spaces
Comparing Time Series with HCTSA
Change Point Detection Algorithms
Time Series for Good
Long Term Time Series Forecasting
Fast and Frugal Time Series Forecasting
Causal Inference in Educational Systems
Boosted Embeddings for Time Series
Change Point Detection in Continuous Integration Systems
Applying k-Nearest Neighbors to Time Series
Ultra Long Time Series
MiniRocket
ARiMA is not Sufficient
Comp Engine
Detecting Ransomware
GANs in Finance
Predicting Urban Land Use
Opportunities for Skillful Weather Prediction
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