BRICS AI Economics

Category: AI Engineering

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Apr, 16 2026

How to Optimize Cloud Costs for Generative AI: Scheduling, Autoscaling, and Spot Instances

Emily Fies
0
Learn how to slash your Generative AI cloud bills using intelligent scheduling, AI-specific autoscaling, and spot instances. Stop overprovisioning and start optimizing.
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Apr, 15 2026

Cross-Attention in Encoder-Decoder Transformers: How Conditioning Works

Emily Fies
4
Explore how cross-attention enables LLMs to condition outputs on encoder context, the core mechanism behind machine translation and multimodal transformers.
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Apr, 14 2026

Request Prioritization and SLAs for Enterprise LLM Endpoints

Emily Fies
5
Learn how to manage LLM request prioritization and maintain strict SLAs in enterprise environments using vLLM, AI gateways, and tail-latency optimization.
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Apr, 10 2026

Image-to-Text in Generative AI: Boosting Accessibility with AI-Generated Alt Text

Emily Fies
10
Explore how image-to-text generative AI is transforming web accessibility. Learn about CLIP, BLIP, and the balance between automated alt text and human review.
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Apr, 9 2026

UI Patterns for Trustworthy Generative AI: Show Sources and Last Updated Dates

Emily Fies
6
Learn how to reduce AI hallucination risk using UI patterns like source citations, last updated dates, and confidence scores to build user trust.
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Apr, 8 2026

LLM API Costs: A Guide to Per-Token Pricing

Emily Fies
0
Learn how per-token pricing works for LLM APIs. Discover why output costs more than input, how tokenization affects your bill, and practical tips to reduce AI costs.
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Apr, 7 2026

Hiring for LLM Teams: Essential Skills and Talent Strategy for 2025

Emily Fies
8
Master your AI talent strategy for 2025. Discover the critical technical skills, RAG and LLMOps specializations, and hiring frameworks needed to build high-performing LLM teams.
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Apr, 5 2026

Prompting for Localization and i18n in Vibe-Coded Frontends

Emily Fies
7
Learn how to use vibe coding and LLM prompting to accelerate frontend localization and i18n, while avoiding common linguistic and technical pitfalls.
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Apr, 4 2026

Vibe Coding for Distributed Systems: Moving Beyond Simple CRUD

Emily Fies
8
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

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

Emily Fies
8
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
6
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
10
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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