BRICS AI Economics

Category: AI Engineering - Page 3

post-image
Jul, 14 2026

Transformer Efficiency Tricks: Mastering KV Caching and Continuous Batching for LLM Serving

Emily Fies
9
Master LLM serving efficiency with KV caching and continuous batching. Learn how to reduce latency, optimize GPU memory, and boost throughput in 2026.
post-image
Jul, 13 2026

Observability for LLM Inference: Token Metrics, Queues, and Tail Latency

Emily Fies
6
Master LLM inference observability by tracking token metrics, queue dynamics, and tail latency. Learn why RPS fails and how to optimize TTFT and throughput for production stability.
post-image
Jul, 12 2026

Safety by Design in Generative AI: Embedding Protections into Product Architecture

Emily Fies
0
Discover how Safety by Design embeds protections into generative AI architecture. Learn about Thorn's framework, NIST standards, and the shift from reactive moderation to proactive engineering.
post-image
Jul, 10 2026

ROI Modeling for Vibe Coding: Calculating Cost, Speed, and Quality Gains in 2026

Emily Fies
0
Calculate the true ROI of vibe coding in 2026. We break down cost savings, speed gains, and hidden technical debt risks to help you decide if AI-assisted development is right for your team.
post-image
Jul, 8 2026

Cost-Quality Frontiers: Selecting the Best Large Language Model for ROI in 2026

Emily Fies
0
Discover how to maximize ROI in 2026 by navigating the cost-quality frontier. Compare value-tier LLMs like GPT-5 Mini and Grok 4 Fast, learn portfolio strategies, and avoid common pitfalls.
post-image
Jul, 7 2026

Service Level Objectives for Maintainability: Indicators and Alerts

Emily Fies
10
Learn how to implement Service Level Objectives for maintainability. Discover key indicators like MTTR and deployment frequency, set realistic error budgets, and configure alerts that boost engineering velocity without sacrificing reliability.
post-image
Jul, 6 2026

Measuring Maintainability: Cognitive Complexity and Coupling Metrics

Emily Fies
5
Learn how to measure software maintainability using Cognitive Complexity and coupling metrics. Discover how to balance code readability with dependency management to reduce technical debt.
post-image
Jul, 5 2026

From Autocomplete to Autonomy: Why Vibe Coding Is a Paradigm Shift

Emily Fies
7
Explore how vibe coding transforms software development from manual typing to AI-driven autonomy. Learn the benefits, risks, and practical steps to adopt this new paradigm.
post-image
Jul, 4 2026

MMLU for Large Language Models: What It Measures and What It Misses

Emily Fies
6
Explore what the MMLU benchmark actually measures for large language models and why its high scores are becoming misleading. Learn about data contamination, saturation, and how successors like MMLU-Pro offer better insights into AI reasoning capabilities in 2026.
post-image
Jul, 2 2026

Controlling Length and Structure in LLM Outputs: Practical Decoding Parameters

Emily Fies
0
Master LLM decoding parameters to control output length, creativity, and structure. Learn how to use temperature, top-k, top-p, and penalties for precise AI generation.
post-image
Jul, 1 2026

Vibe Coding KPIs: Measuring Lead Time, Defect Rates, and Vibe Debt

Emily Fies
0
Learn how to measure success in vibe coding programs. Discover key KPIs for lead time, defect rates, and vibe debt to balance AI speed with code quality.
post-image
Jun, 30 2026

Federated Learning for Generative AI: How Privacy-Preserving Collaboration Works in 2026

Emily Fies
0
Explore how federated learning enables privacy-preserving collaboration for generative AI. Learn about homomorphic encryption, differential privacy, and real-world applications in 2026.

Categories

Latest Courses

Popular Tags