BRICS AI Economics

BRICS AI Economics

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Apr, 4 2026

Vibe Coding for Distributed Systems: Moving Beyond Simple CRUD

Emily Fies
0
Explore the risks and rewards of vibe coding in complex distributed systems. Learn why natural language AI struggles with CAP theorem and how to implement proper guardrails.
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Apr, 4 2026

Employment Law and Generative AI: A Guide to Worker Rights and Compliance in 2026

Emily Fies
0
Explore the intersection of employment law and Generative AI in 2026. Learn about worker rights, state-level regulations in CA, CO, TX, and NY, and how to avoid algorithmic discrimination.
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Apr, 4 2026

Managed APIs vs Self-Hosted Models: Choosing the Right LLM Strategy

Emily Fies
0
Compare managed AI APIs vs self-hosted LLMs. Learn about cost, privacy, and performance trade-offs to choose the best strategy for your business.
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Apr, 1 2026

Measuring ROI of Large Language Model Agents in Enterprise Workflows

Emily Fies
4
Learn how to calculate and track ROI for Large Language Model Agents in enterprise settings using practical metrics, frameworks, and real-world examples.
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Mar, 31 2026

Teacher Selection for LLM Distillation: How to Match Skills and Domains

Emily Fies
3
Learn how to select the right teacher model for LLM distillation by matching skills and domains. Covers essential criteria, timing strategies, and emerging collaborative approaches.
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Mar, 30 2026

State Diagrams and Orchestrators for Complex LLM Agent Pipelines

Emily Fies
5
Learn how to build stable LLM agent systems using state diagrams and orchestrators. Covers architectural patterns, frameworks like LangGraph, and practical implementation strategies.
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Mar, 29 2026

Risk-Based App Categories: Prototypes, Internal Tools, and External Products

Emily Fies
6
Stop wasting budget on low-risk code. Learn how to classify software into prototypes, internal tools, and external products to optimize security efforts.
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Mar, 28 2026

How to Budget for Vibe Coding Platforms: Licenses, Models, and Cloud Costs Explained

Emily Fies
5
Navigate unpredictable vibe coding platform costs with clear strategies for licenses, AI model pricing, and cloud expenses. Learn to budget effectively in 2026.
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Mar, 27 2026

Robustness and Generalization Tests for Large Language Model Reliability

Emily Fies
7
Learn essential robustness testing methods for LLMs beyond standard benchmarks, including adversarial stress tests, OOD validation, and real-world deployment readiness.
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Mar, 25 2026

Diverse Teams in Generative AI Development: Reducing Bias through Inclusion

Emily Fies
0
Explore how diverse teams in Generative AI Development reduce algorithmic bias. Learn practical steps, regulatory requirements, and the business case for inclusion in AI ethics.
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Mar, 24 2026

Prompting as Programming: How Natural Language Became the Interface for LLMs

Emily Fies
7
Prompting has replaced coding for many tasks, turning natural language into the new programming interface for LLMs. Learn how system prompts, Chain of Thought, and generated knowledge are reshaping how we interact with AI.
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Mar, 23 2026

Grounding Prompts in Generative AI: How Retrieval-Augmented Generation Cites Sources to Stop Hallucinations

Emily Fies
0
Grounding prompts with Retrieval-Augmented Generation stops AI hallucinations by forcing responses to cite real data. Learn how RAG works, where it excels, and why it's the only reliable way to use AI in business.

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