Category: Science & Research
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.
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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.
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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.
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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.
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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.
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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.
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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.
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Tamara Weed, Nov, 20 2025
Small changes in how you phrase a question to an AI can drastically change its answer. Learn why prompt sensitivity happens, which models are most reliable, and how to get consistent results-especially in high-stakes fields like healthcare.
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Tamara Weed, Nov, 17 2025
Generative AI is transforming leadership-not by replacing humans, but by freeing them to focus on what matters: people, strategy, and culture. Learn practical steps to lead effectively in the AI era.
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Tamara Weed, Nov, 16 2025
Learn how supervised and preference-based fine-tuning methods impact AI hallucinations, and why faithfulness in reasoning matters more than output accuracy. Real data from 2024 studies show what works-and what doesn't.
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Tamara Weed, Nov, 13 2025
Anti-pattern prompts in vibe coding lead to insecure AI-generated code. Learn the most dangerous types of prompts, why they fail, and how to write secure, specific instructions that prevent vulnerabilities before they happen.
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Tamara Weed, Nov, 8 2025
Learn how to choose between IDEs, no-code, and low-code tools based on your skill level. See which platforms work best for beginners, intermediates, and professionals in 2025.
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