The True Cost of LLMs for Businesses
14 Jul 2025
A decision-theoretic model to assess the real ROI of LLMs, factoring in cost variables, prompt strategies, and long-term financial viability.
Exploring Local and Global Sensitivity in Binary Decision Modeling
14 Jul 2025
Modeling binary classification problems with a focus on confusion matrices, ROI, and sensitivity analysis using Hessian and Sobol methods.
The Delicate Math Behind Prompt Compression and Profit Margins in LLMs
14 Jul 2025
Analyzing how prompt size, cost, and prediction accuracy impact ROI and earnings in LLM projects using local and global sensitivity methods.
Measuring LLM ROI from a Single Transaction Using Real-World Costs
14 Jul 2025
How do you pick the right LLM? This model shows how to calculate ROI from a single transaction using cost, gain, and performance data.
How to Measure the Business Impact of LLMs
14 Jul 2025
A decision-theoretic model for predicting the success, earnings, and ROI of LLMs in business tasks using probabilistic and cost-based variables.
LLM Pricing Explained: Tokens, Embeddings, and More
14 Jul 2025
Breaks down the real-world costs of using LLMs—token, embedding, network, and more—to help businesses choose the most cost-effective model.
Understanding the Financial Implications of LLM Deployment
14 Jul 2025
A smarter way to model LLM costs and earnings. This article critiques common ROI models and suggests better ways to measure AI project value.
New Research Breaks Down LLM ROI Across Business Use Cases
14 Jul 2025
A framework for evaluating language models by ROI, not just accuracy—helping businesses align AI choices with real financial outcomes.
Theoretical Memory Efficiency Gains with LoRA for Single and Multi-GPU Settings
18 Jun 2025
Learn how LoRA improves memory efficiency for training large models on single and multi-GPU setups, with comparisons to full finetuning and FSDP.