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AI optimization - C# Corner

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AI optimization

14 posts about AI optimization

GitHub Copilot Agent Workloads: Benchmarking Tool-Call Retry Overhead

Nidhi Sharma

19dPublished Aug 19, 2026, 6:32 AMUpdated Aug 20, 2026, 5:17 AM

310

Benchmarking Semantic Routing vs Static Model Selection in .NET

Nidhi Sharma

20dPublished Aug 19, 2026, 6:30 AMUpdated Aug 19, 2026, 9:00 AM

3.3k

Measuring AI Agent Cost Attribution Across Enterprise Projects

Nidhi Sharma

21dPublished Aug 18, 2026, 5:40 AMUpdated Aug 18, 2026, 12:23 PM

369

Benchmarking Model Routing by Cost, Latency, and Answer Quality

Riya Patel

23dPublished Aug 14, 2026, 4:28 AMUpdated Aug 16, 2026, 8:24 AM

312

Measuring Local AI Latency Across CPU, GPU, and NPU Hardware

Riya Patel

25dPublished Aug 14, 2026, 4:25 AMUpdated Aug 14, 2026, 9:20 AM

1.5k

Optimizing NVIDIA GPU Inference Pipelines for Local AI Applications

Riya Patel

1moPublished Aug 3, 2026, 7:50 AMUpdated Aug 4, 2026, 9:02 AM

425

How to Implement Semantic Caching in Production AI Applications

Saurav Kumar

2moPublished Jun 15, 2026, 6:54 AMUpdated Jun 15, 2026, 9:44 AM

2.7k

Artificial Intelligence: Training, Self-Learning, and Inference: How Modern AI Actually Improves

John Godel

10moPublished Oct 30, 2025, 8:26 PM

687

Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)

John Godel

10moPublished Oct 17, 2025, 6:45 PM

887

Prompt Engineering: Decoding Discipline - Sampling Policies and Sectioned Generation — Part 2

John Godel

10moPublished Oct 16, 2025, 1:46 PM

808

How Context Length Impacts Large Language Model (LLM) Performance — Explained with GPT-5 and Gemini Examples

Mahesh Chand

10moPublished Oct 15, 2025, 3:12 PMUpdated Oct 15, 2025, 3:20 PM

5.6k

AI in Practice: LLMs, Transformers, Weights, and Embeddings/Vectors — An In-Depth Builder’s Guide

John Godel

1yPublished Aug 28, 2025, 12:00 AMUpdated Aug 28, 2025, 6:47 AM

5.5k

What is the bias–variance tradeoff?

Vijay Kumari

1yPublished Aug 8, 2025, 7:06 AM

Prompt Engineering for Solution Architects

Kasam Shaikh

2yPublished Jun 6, 2024, 12:00 AMUpdated Jun 6, 2024, 5:07 AM

1.9k

AI optimization

GitHub Copilot Agent Workloads: Benchmarking Tool-Call Retry Overhead

Benchmarking Semantic Routing vs Static Model Selection in .NET

Measuring AI Agent Cost Attribution Across Enterprise Projects

Benchmarking Model Routing by Cost, Latency, and Answer Quality

Measuring Local AI Latency Across CPU, GPU, and NPU Hardware

Optimizing NVIDIA GPU Inference Pipelines for Local AI Applications

How to Implement Semantic Caching in Production AI Applications

Artificial Intelligence: Training, Self-Learning, and Inference: How Modern AI Actually Improves

Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)

Prompt Engineering: Decoding Discipline - Sampling Policies and Sectioned Generation — Part 2

How Context Length Impacts Large Language Model (LLM) Performance — Explained with GPT-5 and Gemini Examples

AI in Practice: LLMs, Transformers, Weights, and Embeddings/Vectors — An In-Depth Builder’s Guide

What is the bias–variance tradeoff?

Prompt Engineering for Solution Architects

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