Reliable Inference
July 5, 2026 / Raymond Lee
Evaluator aware decoding
Evaluator aware decoding: let the model write the expression, let the engine write the answer
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Insights
Concise perspectives on applied AI, production delivery, and the decisions shaping modern businesses.
AI Engineering
May 12, 2026 / Dr Pasquale Minervini
Benchmarking Local LLMs Against Coding Agent Harnesses
Preliminary benchmark results comparing local LLM quantizations across coding agent harnesses on 16 software-engineering tasks.
Read insightAI Reliability
March 20, 2026 / Miniml
Lost in Time: Why AI Still Struggles With Clocks and Calendars
Even advanced multimodal models still make basic clock and calendar mistakes, which creates silent risk in critical enterprise workflows.
Read insightAI and Data
March 6, 2026 / Miniml
Complex Query Answering Over Structured Data
How neural link prediction enables AI systems to answer complex questions over knowledge graphs and structured datasets without rebuilding data infrastructure.
Read insightAI in Engineering
February 27, 2026 / Miniml
Test-Time Accuracy-Cost Trade-Offs in Neural Simulation
How recurrent neural simulators give enterprise teams direct control over the accuracy-cost trade-off at inference time, without retraining or model redesign.
Read insightAI Efficiency
February 13, 2026 / Miniml
Activation Sparsity and Enterprise AI Efficiency
How activation sparsity in large language models creates real opportunities to reduce inference cost, latency, and hardware requirements in enterprise deployments.
Read insightRetrieval Systems
October 31, 2025 / Miniml
RAG vs Fine-Tuning: A Decision Framework for Production AI
When to use RAG, when to fine-tune, and when a hybrid approach makes more sense for production AI systems that need accuracy, flexibility, and control.
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