BRICS AI Economics

BRICS AI Economics

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Oct, 15 2026

Auditing AI Usage: Essential Logs, Prompts, and Output Tracking

Emily Fies
1
Discover essential AI auditing practices for 2026. Learn how to log prompts, track outputs, and manage compliance risks without sacrificing performance.
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Oct, 14 2026

Scaling Laws in Practice: When to Stop Training Large Language Models

Emily Fies
0
Learn how to determine the optimal stopping point for LLM training. We compare Kaplan and Chinchilla scaling laws, explain why overtraining is common in production, and provide practical metrics for saving compute.
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Oct, 13 2026

Do Bigger LLMs Actually Pay Off? Benchmarking Scaling Returns

Emily Fies
0
Discover why bigger LLMs don't always mean better ROI. Learn to benchmark scaling outcomes using cost-efficiency and real-world utility instead of just parameter counts.
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Oct, 12 2026

Prompt Robustness: Handling Noisy Inputs in LLMs

Emily Fies
6
Learn how to build resilient LLM systems by mastering prompt robustness. Discover strategies like RoP and MOF to handle noisy inputs, typos, and user variations effectively.
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Oct, 11 2026

Retention and Deletion Policies for LLM Prompts and Logs: A Practical Guide

Emily Fies
0
Learn how to manage LLM prompt and log retention effectively. Discover why standard deletion fails, how regulatory laws impact AI data, and best practices for secure, compliant data lifecycle management.
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Oct, 10 2026

AI Ethics Frameworks for Generative AI: Principles, Policies, and Practice

Emily Fies
0
Learn how to implement AI ethics frameworks for generative AI. Discover practical steps for governance, bias mitigation, and EU AI Act compliance.
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Oct, 9 2026

Red Teaming Prompts for Generative AI: Finding Safety and Security Gaps

Emily Fies
0
Discover how red teaming prompts uncover safety gaps in generative AI. Learn the differences from pen testing, key attack vectors like prompt injection, and how to integrate adversarial testing into your CI/CD pipeline for robust AI security.
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Oct, 8 2026

Benchmarking Vibe Coding Tool Output Quality Across Frameworks

Emily Fies
0
Discover how top AI models stack up in recent vibe coding benchmarks. Learn which tools deliver the highest accuracy, where they fail, and how to choose the right framework for your workflow.
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Oct, 7 2026

Curriculum and Blending: How to Mix Datasets for Better Large Language Models

Emily Fies
9
Discover how curriculum learning and dataset blending optimize LLM training. Learn strategies for ordering data, measuring difficulty, and improving performance without extra compute.
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Oct, 6 2026

IT Service Management with Generative AI: Ticket Triage and Knowledge Articles

Emily Fies
8
Discover how Generative AI transforms IT Service Management by automating ticket triage and generating knowledge articles. Learn how NLP improves accuracy, reduces resolution times, and enables proactive support strategies.
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Oct, 5 2026

Mastering Self-Ask and Decomposition Prompts for Complex LLM Questions

Emily Fies
0
Learn how Self-Ask and decomposition prompting enhance LLM accuracy on complex questions. Discover implementation steps, compare techniques, and avoid common pitfalls.
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Oct, 4 2026

Self-Attention in Transformers: How LLMs Understand Context

Emily Fies
5
Discover how self-attention powers Large Language Models. Learn the QKV framework, multi-head mechanics, and why this 2017 innovation revolutionized AI understanding.

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