Author: Tamara Weed

Tamara Weed, Dec, 29 2025

Vibe coding adoption is surging, with 84% of developers using AI tools-but only 9% trust them for production code. Learn the key stats, top platforms, security risks, and real-world usage patterns that define this new era of software development.

Tamara Weed, Dec, 26 2025

Learn how to reduce unpredictable responses from AI models using deterministic prompts, temperature settings, and other proven techniques. Get consistent, reliable outputs for production use.

Tamara Weed, Dec, 22 2025

Shadow AI-unapproved AI tools used by employees-is a growing compliance threat. Learn how to identify, govern, and bring these tools into compliance with real-world strategies and regulatory requirements.

Tamara Weed, Dec, 20 2025

Parameter count in large language models determines their reasoning power, knowledge retention, and task performance. Bigger isn't always better-architecture, quantization, and efficiency matter just as much as raw size.

Tamara Weed, Dec, 19 2025

Large language models often answer confidently even when they're wrong. Learn how new methods detect when they're out of their depth-and how to make them communicate uncertainty honestly to build real trust.

Tamara Weed, Dec, 17 2025

Tensor parallelism is the key technique for running large language models across multiple GPUs. Learn how it splits model layers to fit bigger models on smaller hardware, its real-world performance, and how to use it with modern frameworks.

Tamara Weed, Dec, 16 2025

Attention head specialization lets large language models process grammar, context, and meaning simultaneously through dozens of specialized internal processors. Learn how they work, why they matter, and what’s next.

Tamara Weed, Dec, 15 2025

The Parapsychological Association is a respected scientific group studying psi phenomena like telepathy and precognition using rigorous methods. Founded in 1957, it's affiliated with the AAAS and includes university researchers worldwide.

Tamara Weed, Dec, 15 2025

Generative AI is transforming manufacturing by auto-generating SOPs, work instructions, and QC reports in real time. Learn how it cuts errors, speeds up training, and empowers operators-with real examples from Georgia-Pacific, Bosch, and Hyundai.

Tamara Weed, Dec, 11 2025

CIOs must choose between buying, boosting, or building generative AI platforms. This guide breaks down cost, speed, risk, and strategic value to help leaders make the right call-without wasting millions.

Tamara Weed, Nov, 25 2025

Generative AI is transforming HR by automating job descriptions, interview guides, and onboarding. Learn how it saves time, reduces bias, and what tools actually work in 2025.

Tamara Weed, Nov, 24 2025

Learn how to choose batch sizes for LLM serving to cut cost per token by up to 87%. Real-world examples, optimal batch sizes, GPU limits, and proven cost-saving techniques.