BRICS AI Economics

Category: AI Engineering - Page 3

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Apr, 30 2026

Abstention Policies for Generative AI: Stopping Model Hallucinations

Emily Fies
6
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, 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
8
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
8
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, 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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Apr, 16 2026

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

Emily Fies
7
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
8
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
9
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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