Fitting models to the training data based on desired projections, data structure, performance metrics, and explainability
Classification, Regression, Reinforcement Learning, Unsupervised Learning, Deep Learning, Ensemble Models
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Case Studies
Quantifying Commodity Sentiment with AI
In this case study, Mosaic fine-tuned language models to analyze text and quantify public sentiment to explain commodity pricing with AI. Our team used sentiment model outputs to extract insights regarding price trends for a specific commodity and predict future price movements.
