BRICS AI Economics

BRICS AI Economics

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Sep, 8 2026

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

Emily Fies
0
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
1
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
5
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
3
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
5
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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Aug, 31 2026

Role, Rules, and Context: Structuring Prompts for Enterprise LLM Use

Emily Fies
7
Master enterprise LLM prompts by structuring them around Role, Rules, and Context. Learn why positive instructions beat negative constraints and how context engineering reduces hallucinations.
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Aug, 30 2026

Vendor Management for Vibe Coding: Governance, Risks, and Best Practices

Emily Fies
0
Learn how to manage vendors for vibe coding platforms. Discover key governance risks, contract clauses, and comparison of top providers like ServiceNow and Salesforce.
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Aug, 29 2026

Hybrid LLM Architecture: Combining API Models with Open-Source Runtimes

Emily Fies
6
Discover how hybrid LLM architectures combine open-source runtimes like Ollama with commercial APIs to cut costs by 40% while ensuring data privacy. Learn practical routing strategies and tool comparisons.
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Aug, 28 2026

Debugging LLM Prompts: Systematic Methods to Fix Outputs

Emily Fies
0
Stop guessing why your LLM outputs fail. Learn systematic debugging methods like task decomposition, RAG, and prompt chaining to improve accuracy and reliability.

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