Prevent unnecessary component re-renders by memoizing components and computed values.
Category: Emerging Technologies
Emerging technologies include a variety of technologies such as educational technology, information technology, nanotechnology, biotechnology, cognitive science, psychotechnology, robotics, and artificial intelligence.
Tips and Tricks – Debounce Search Inputs for Better Performance
Prevent excessive API calls by debouncing user input in search fields.
LLM Cost Optimization: Reducing API Spend Without Sacrificing Quality
Introduction: LLM API costs can spiral quickly—a chatbot handling 10,000 daily users at $0.01 per conversation costs $3,000 monthly. Production systems need cost optimization without sacrificing quality. This guide covers practical strategies: semantic caching to avoid redundant calls, model routing to use cheaper models when possible, prompt compression to reduce token counts, and monitoring to… Continue reading
LLM Evaluation: Metrics, Benchmarks, and A/B Testing
Introduction: Evaluating LLM outputs is challenging because there’s often no single “correct” answer. Traditional metrics like BLEU and ROUGE fall short for open-ended generation. This guide covers modern evaluation approaches: automated metrics for specific tasks, LLM-as-judge for quality assessment, human evaluation frameworks, A/B testing in production, and building comprehensive evaluation pipelines. These techniques help you… Continue reading
Tips and Tricks – Parallelize CPU-Bound Work with ProcessPoolExecutor
Bypass the GIL and utilize all CPU cores for compute-intensive tasks.
Tips and Tricks – Accelerate Pandas with PyArrow Backend
Switch to PyArrow-backed DataFrames for faster operations and lower memory usage.
.NET AI Performance Optimization: Reducing Latency and Costs
Last year, I inherited a .NET AI application that was struggling. Response times averaged 2.3 seconds, costs were spiraling, and users were complaining. After three months of optimization, we cut latency by 87% and reduced costs by 72%. Here’s what I learned about optimizing .NET AI applications for production. Figure 1: .NET AI Performance Optimization… Continue reading
Tips and Tricks – Freeze Collections for Thread-Safe Read Access
Use FrozenDictionary and FrozenSet for immutable, highly-optimized read-only collections.
Tips and Tricks – Leverage ArrayPool for Temporary Buffer Reuse
Rent and return arrays from a shared pool to avoid repeated allocations in buffer-heavy code.
Streaming LLM Responses: SSE, WebSockets, and Real-Time Token Delivery
Introduction: Streaming responses dramatically improve perceived latency in LLM applications. Instead of waiting seconds for a complete response, users see tokens appear in real-time, creating a more engaging experience. Implementing streaming correctly requires understanding Server-Sent Events (SSE), handling partial tokens, managing connection lifecycle, and gracefully handling errors mid-stream. This guide covers practical streaming patterns: basic… Continue reading