BRICS AI Economics

BRICS AI Economics

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Sep, 14 2026

Vibe Coding Myths and Facts: Separating Hype from Reality

Emily Fies
0
Discover the truth about vibe coding. We separate hype from reality, exploring myths about laziness and job displacement, and revealing where AI-driven development truly shines.
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Sep, 13 2026

Vibe Coding Customer Portals: Authentication, Profiles & Notifications

Emily Fies
1
Discover how vibe coding accelerates customer portal development. Learn to secure AI-generated authentication, manage profiles, and implement notifications effectively.
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Sep, 12 2026

Education Operations Using Generative AI: Syllabi, Lesson Plans, and Rubrics

Emily Fies
2
Discover how generative AI transforms education operations by streamlining syllabi, lesson plans, and rubrics. Learn about efficiency gains, risks, and best practices for 2026.
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Sep, 11 2026

How Generative AI Improves Customer Service: Chatbots, Virtual Agents, and Knowledge Automation

Emily Fies
4
Discover how generative AI transforms customer service by enhancing chatbots, empowering agents with real-time copilots, and automating knowledge management for faster, more personalized support.
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Sep, 10 2026

Generative AI in Finance: Board Oversight and Management Narratives

Emily Fies
0
Discover why board oversight of generative AI in finance is critical. Learn how to translate technical metrics into strategic narratives, mitigate risks, and ensure regulatory compliance.
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Sep, 9 2026

Vibe Coding Use Cases: How Industries Are Building Software with AI

Emily Fies
0
Discover how vibe coding transforms software development across industries. Learn its key use cases in startups, e-commerce, IoT, and gaming, and understand where AI-generated code fits into modern workflows.
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Sep, 8 2026

Mastering Style Transfer Prompts in Generative AI: Tone, Voice, and Format

Emily Fies
5
Learn how to master style transfer prompts in generative AI. Discover techniques to precisely control tone, voice, and format for consistent, brand-aligned content.
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Sep, 7 2026

Latency Optimization for LLMs: Streaming, Batching, and Caching

Emily Fies
5
Master LLM latency optimization by leveraging streaming, continuous batching, and KV caching. Learn how to reduce Time-To-First-Token below 200ms while maximizing GPU efficiency and minimizing infrastructure costs.
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Sep, 6 2026

Generative AI for Finance: Automating Forecasts and Variance Narratives

Emily Fies
0
Discover how finance teams use generative AI to automate forecasting narratives and variance analysis. Learn about real-world ROI, implementation steps, and how to move from data entry to strategic insight.
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Sep, 5 2026

Understanding Positional Encodings in Transformer-Based Large Language Models

Emily Fies
10
Discover how positional encodings enable Transformers to understand word order. Learn the differences between sinusoidal, learned, and RoPE methods, and how they impact context windows in modern LLMs.
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Sep, 4 2026

Hardware Acceleration for Multimodal Generative AI: GPUs, NPUs, and Edge

Emily Fies
9
Explore how GPUs, NPUs, and edge devices power multimodal generative AI. Learn about optimization techniques, infrastructure demands, and the shift toward local execution.
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Sep, 3 2026

Confidence vs. Uncertainty in Generative AI: How to Communicate Reliability

Emily Fies
8
Generative AI often sounds confident even when wrong, creating risks for users. Learn why uncertainty matters, how to visualize it effectively, and what enterprises are doing to communicate reliability.

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