BRICS AI Economics

BRICS AI Economics

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Jun, 3 2026

Bias in Large Language Models: Sources, Measurement, and Mitigation

Emily Fies
0
Explore the sources, measurement, and mitigation of bias in Large Language Models. Learn about pro-AI bias, stated vs. revealed preferences, and new 2026 detection methods.
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Jun, 2 2026

LLM Limitations: A Practical Guide to Setting User Expectations

Emily Fies
1
Learn how to educate users on LLM limitations like hallucinations and bias. This guide offers practical strategies for setting responsible expectations in healthcare, law, and education.
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Jun, 1 2026

Evaluation Datasets for LLM Agent Benchmarks: A Practical Guide

Emily Fies
3
Explore the top evaluation datasets for LLM agent benchmarks in 2026. Learn why MMLU and GSM8K are saturating, how HELM provides holistic insights, and practical strategies for reliable AI assessment.
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May, 31 2026

Playbooks for RAG, Agents, and Prompt Engineering at Scale: A Strategic Guide

Emily Fies
4
Master RAG, AI agents, and prompt engineering at scale with proven playbooks. Learn strategic separation, retrieval optimization, and operational governance for production-ready AI systems.
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May, 30 2026

The AI Content Lifecycle: Creation, Review, Publish, and Archive

Emily Fies
6
Master the AI content lifecycle in 2026. Learn how generative AI transforms creation, review, publishing, and archiving for better SEO and efficiency.
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May, 29 2026

Multilingual LLMs: How Transfer Learning Bridges the Language Gap in 2026

Emily Fies
5
Explore how transfer learning bridges the gap between high and low-resource languages in multilingual LLMs. Learn about CSCL, XLM-RoBERTa, and the 2026 landscape.
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May, 28 2026

Modularizing AI-Generated Logic: Extract, Isolate, and Simplify

Emily Fies
9
Learn how to modularize AI-generated logic by extracting, isolating, and simplifying components. Discover MRKL and MML architectures to improve maintainability, reduce hallucinations, and ensure auditability in enterprise AI systems.
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May, 27 2026

Designing Vector Stores for RAG: Indexing and Storage Best Practices

Emily Fies
0
Learn how to design efficient vector stores for RAG systems. We cover indexing strategies, chunking best practices, and choosing between FAISS, pgvector, and managed solutions.
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May, 26 2026

Retraining After Compression: Restoring Lost Accuracy in LLMs

Emily Fies
0
Learn how to restore accuracy in compressed LLMs using local reconstruction, EoRA, and prompt-based recovery. Avoid expensive full retraining with these 2025 proven techniques.
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May, 25 2026

How to Build a Cost Forecast for Large Language Model Adoption

Emily Fies
0
Learn how to accurately forecast LLM adoption costs. Compare cloud API vs on-premise expenses, calculate break-even points, and avoid hidden fees like tokenizer inefficiencies.
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May, 24 2026

Generative AI in Healthcare: Measuring Diagnostic Accuracy and ROI

Emily Fies
0
Explore how generative AI impacts healthcare ROI through improved diagnostic accuracy and faster time-to-treatment. We analyze real-world data on LLM performance, clinical integration, and the future of AI-assisted medicine.
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May, 23 2026

How Domain Experts Turn Spreadsheets into Applications with Vibe Coding

Emily Fies
0
Learn how domain experts use vibe coding to turn spreadsheets into apps. Explore tools, workflows, and real-world examples of AI-driven development in 2026.

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