Reasoning, Robustness & Uncertainty Center - Page 2
- Mark Chomiczewski
- Sep, 3 2026
- 7 Comments
Self-Hosted LLMs vs APIs: When Does Self-Hosting Actually Save Money?
Discover when self-hosting LLMs beats cloud APIs. Learn the true cost of ownership, break-even points, and why engineering time matters more than GPU prices.
- Mark Chomiczewski
- Sep, 2 2026
- 8 Comments
LLM Generalization: How Training Duration and Token Counts Impact Performance
Discover why more tokens don't always mean better LLMs. Learn how training duration, sequence length curricula, and regularization impact generalization.
- Mark Chomiczewski
- Sep, 1 2026
- 8 Comments
When Scaling Laws Break: Why Bigger LLMs Don't Always Mean Better
Discover why traditional LLM scaling laws fail in real-world scenarios. Learn how Chinchilla corrections, overtraining, and RL instability reshape AI development strategies.
- Mark Chomiczewski
- Aug, 31 2026
- 0 Comments
RLHF vs Supervised Fine-Tuning: Key Tradeoffs for LLMs
Discover the key differences between RLHF and Supervised Fine-Tuning for LLMs. Learn when to use each method, their impact on cost, diversity, and accuracy.
- Mark Chomiczewski
- Aug, 30 2026
- 0 Comments
Low-Risk Vibe Coding Use Cases for Enterprise Back-Office
Discover how vibe coding transforms enterprise back-office operations. Learn low-risk use cases for workflow automation, compliance, and documentation.
- Mark Chomiczewski
- Aug, 29 2026
- 0 Comments
Prompt Chaining for Multi-File Refactors in Vibe-Coded Repos
Stop letting single-prompt AI refactors break your builds. Learn how prompt chaining manages multi-file dependencies in vibe-coded repos, reducing errors from 68% to 22% through structured extract-transform-generate workflows.
- Mark Chomiczewski
- Aug, 28 2026
- 10 Comments
Scaling Vibe Coding: Defining Roles for AI Champions, Architects, and Verification Engineers
Discover how AI Champions, Architects, and Verification Engineers transform vibe coding from a chaotic experiment into a scalable, governed engineering practice.
- Mark Chomiczewski
- Aug, 27 2026
- 0 Comments
Fairness in Multilingual LLMs: How to Align Models Beyond English
Discover why English-centric alignment fails in multilingual LLMs. Learn about cross-lingual bias, technical solutions, and best practices for achieving true AI fairness.
- Mark Chomiczewski
- Aug, 26 2026
- 0 Comments
Masked Language Modeling vs Next-Token Prediction: Choosing the Right LLM Pretraining Objective
Explore the technical differences and performance benchmarks of Masked Language Modeling vs Next-Token Prediction. Learn which pretraining objective is best for your specific NLP task.
- Mark Chomiczewski
- Aug, 25 2026
- 0 Comments
Cybersecurity and Generative AI: Threat Reports, Playbooks, and Simulations
Discover how generative AI reshapes cybersecurity in 2026. Explore threat reports, build effective playbooks, and run simulations to secure your organization against AI-driven risks.
- Mark Chomiczewski
- Aug, 24 2026
- 0 Comments
Isolation and Sandboxing for Tool-Using LLM Agents: A Security Guide
Learn how to secure tool-using LLM agents using isolation and sandboxing. We compare container, microVM, and ISOLATEGPT approaches to prevent prompt injection and data leaks.
- Mark Chomiczewski
- Aug, 23 2026
- 0 Comments
Workflow Automation with LLM Agents: When Rules Meet Reasoning
Discover how LLM agents transform workflow automation by combining reasoning with traditional rules. Learn the architecture, benefits, and pitfalls of agentic systems.