by Robert Sarvis | May 7, 2026 | Featured, Insights |
As enterprise organizations accelerate adoption of AI-assisted development workflows, conversations are rapidly shifting from “Can we use AI?” to “How do we scale AI responsibly and cost effectively?” With tools like GitHub Copilot moving toward usage-based token... by Robert Sarvis | May 1, 2026 | Featured, Insights |
How I Trained an AI to Actually Be Better at Go For enterprise organizations investing in AI, the difference between experimentation and measurable improvement often comes down to discipline in training, data governance, and benchmarking. Fine-tuning models is not... by Robert Sarvis | Apr 15, 2026 | Featured, Insights |
State of the Local Models – Q2 2026 The AI space is moving incredibly quickly, and the local model ecosystem is evolving just as fast. One of my ongoing hobbies (riveting, I know) is benchmarking and testing local models to see what actually holds up in... by Robert Sarvis | Apr 10, 2026 | Featured, Insights |
Does Iterative Refinement Improve AI Code Generation? We Tested It. There has been growing discussion across platforms like LinkedIn around recursive strategies such as Recursive Self Aggregation (RSA) for improving large language model outputs. The idea is... 