Archive: 2026/01

Latency Optimization for Large Language Models: Streaming, Batching, and Caching
Latency Optimization for Large Language Models: Streaming, Batching, and Caching

Tamara Weed, Jan, 14 2026

Learn how to cut LLM response times using streaming, batching, and caching. Reduce latency under 200ms, boost user engagement, and lower infrastructure costs with proven techniques.

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Practical Applications of Generative AI Across Industries and Business Functions in 2025
Practical Applications of Generative AI Across Industries and Business Functions in 2025

Tamara Weed, Jan, 13 2026

Generative AI is now transforming healthcare, finance, manufacturing, and customer service in 2025, cutting costs, speeding up workflows, and boosting accuracy. Learn how real companies are using it-and what it takes to make it work.

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Context Windows in Large Language Models: Limits, Trade-Offs, and Best Practices
Context Windows in Large Language Models: Limits, Trade-Offs, and Best Practices

Tamara Weed, Jan, 11 2026

Context windows in large language models define how much text an AI can process at once. Learn the limits of today’s top models, the trade-offs of longer windows, and practical strategies to use them effectively without wasting time or money.

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How to Triaging Vulnerabilities in Vibe-Coded Projects: Severity, Exploitability, Impact
How to Triaging Vulnerabilities in Vibe-Coded Projects: Severity, Exploitability, Impact

Tamara Weed, Jan, 10 2026

Vibe coding speeds up development but introduces serious security risks. Learn how to triage AI-generated vulnerabilities by evaluating severity, exploitability, and impact - with real data from 2024-2025 research.

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