BRICS AI Economics

BRICS AI Economics

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May, 1 2026

How to Stop AI Hallucinations: Constraints, Quotes, and Extractive Answers

Emily Fies
0
Stop AI hallucinations with precise prompting strategies. Learn how to use constraints, quotes, and extractive answers to force large language models to deliver accurate, verifiable results instead of fabricated guesses.
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Apr, 30 2026

Abstention Policies for Generative AI: Stopping Model Hallucinations

Emily Fies
0
Learn how abstention policies prevent AI hallucinations by teaching models to say "I don't know" using uncertainty quantification and RAG.
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Apr, 29 2026

How to Use Generative AI for Sales Enablement: Proposals, CRM, and Personalization

Emily Fies
1
Learn how generative AI transforms sales enablement by automating proposal drafting, CRM notes, and hyper-personalization to boost productivity and win rates.
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Apr, 28 2026

Managing Third-Party Risk in Generative AI: Vendor Assessments and Shared Responsibility

Emily Fies
0
Learn how to manage third-party risks in Generative AI using evidence-based vendor assessments and the shared responsibility model to protect your organization.
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Apr, 27 2026

Balanced Training Data Curation for LLM Fairness: A Guide to Reducing Bias

Emily Fies
0
Learn how balanced training data curation reduces LLM bias and improves performance. Discover techniques like ClusterClip Sampling and high-fidelity labeling for fairer AI.
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Apr, 26 2026

Mastering Vibe Coding: Prompting Strategies for Rapid Development

Emily Fies
3
Learn the best prompting strategies for vibe coding to turn ideas into apps fast. Discover the six-step framework, user-action prompting, and how to avoid technical debt.
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Apr, 26 2026

Mastering Vibe Coding: Prompting Strategies for Rapid AI Development

Emily Fies
0
Learn the best prompting strategies for vibe coding to build software faster. Discover modular prompting, chained requests, and how to bridge the gap from prototype to production.
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Apr, 25 2026

AdamW vs Adafactor vs Lion: Choosing the Best LLM Optimizer

Emily Fies
6
Compare AdamW, Adafactor, and Lion optimizers for LLM training. Learn about memory overhead, convergence speed, and which one to choose for your training pipeline.
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Apr, 24 2026

Stochastic Depth and Regularization for Deep Transformer LLMs

Emily Fies
0
Explore how stochastic depth and advanced regularization techniques prevent overfitting and improve generalization in deep transformer-based LLMs.
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Apr, 23 2026

Data Classification Rules for Vibe Coding: Securing AI-Generated Apps

Emily Fies
0
Learn how to apply data classification rules to vibe coding to prevent security leaks, manage PII, and secure AI-generated applications using a risk-based framework.
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Apr, 22 2026

Product Design with Multimodal Generative AI: Rapid Prototypes and Iterations

Emily Fies
5
Learn how multimodal generative AI transforms product design, using text, images, and 3D data to create rapid prototypes and accelerate design iterations.
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Apr, 21 2026

How to Prevent OOM Errors in Large Language Model Inference

Emily Fies
7
Learn how to prevent OOM errors in LLM inference using memory planning, CAMELoT, and sparsification to run larger models on existing hardware.

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