BRICS AI Economics

BRICS AI Economics

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Sep, 12 2026

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

Emily Fies
1
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
1
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
3
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
4
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
8
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
8
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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Sep, 2 2026

Vibe Coding Ethics: Who Owns the Bug?

Emily Fies
0
Explore the ethical dilemmas of vibe coding. Learn who bears responsibility for AI-generated bugs, security risks, and regulatory impacts on developers.
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Sep, 1 2026

Calibration of Generative AI Models: Aligning Confidence with Accuracy

Emily Fies
6
Discover how to align AI confidence with accuracy through calibration. Learn why LLMs hallucinate despite sounding sure and explore solutions like CGM, self-randomization, and lightweight fine-tuning.

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