Archive: 2025/11

HR Automation with Generative AI: Streamline Job Descriptions, Interviews, and Onboarding
HR Automation with Generative AI: Streamline Job Descriptions, Interviews, and Onboarding

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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How to Choose Batch Sizes to Minimize Cost per Token in LLM Serving
How to Choose Batch Sizes to Minimize Cost per Token in LLM Serving

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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Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything
Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything

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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Navigating the Generative AI Landscape: Practical Strategies for Leaders
Navigating the Generative AI Landscape: Practical Strategies for Leaders

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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Fine-Tuning for Faithfulness in Generative AI: Supervised vs. Preference Methods to Reduce Hallucinations
Fine-Tuning for Faithfulness in Generative AI: Supervised vs. Preference Methods to Reduce Hallucinations

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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Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding
Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding

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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IDE vs No-Code: Choosing the Right Development Tool for Your Skill Level
IDE vs No-Code: Choosing the Right Development Tool for Your Skill Level

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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SLAs and Support: What Enterprises Really Need from LLM Providers in 2025
SLAs and Support: What Enterprises Really Need from LLM Providers in 2025

Tamara Weed, Nov, 6 2025

Enterprise LLMs demand more than uptime-they need clear SLAs on latency, compliance, data handling, and support. In 2025, providers like Azure OpenAI, Amazon Bedrock, and Anthropic compete on transparency, not just performance.

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Proof-of-Concept Machine Learning Apps Built with Vibe Coding
Proof-of-Concept Machine Learning Apps Built with Vibe Coding

Tamara Weed, Nov, 4 2025

Vibe coding lets anyone build machine learning proof-of-concept apps using natural language prompts. No coding experience needed. Learn how it works, which tools to use, and the real risks you can't ignore.

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Access Controls and Audit Trails for Sensitive LLM Interactions: How to Secure AI Systems
Access Controls and Audit Trails for Sensitive LLM Interactions: How to Secure AI Systems

Tamara Weed, Nov, 3 2025

Learn how access controls and audit trails protect sensitive data in LLM systems. Discover what logs to capture, how roles work, and why compliance isn't optional in 2025.

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