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.
Comp Engine
Detecting Ransomware
GANs in Finance
Predicting Urban Land Use
Opportunities for Skillful Weather Prediction
Predicting Stock Prices
N-Beats
Translation Automation
Time Series at the Beach
Automatic Identification of Outlier Galaxy Images
Do We Need Deep Learning in Time Series
Detecting Drift
Darts Library for Time Series
Forecasting Principles and Practice
Prequisites for Time Series
Orders of Magnitude
They're Coming for Our Jobs
Pandemic Machine Learning Pitfalls
Flesch Kincaid Readability Tests
Fairness Aware Outlier Detection
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