Architecting Resilient 3-Tier Systems on AWS for Scalable Workloads
An architectural audit of resilient multi-AZ 3-tier systems on AWS, detailing VPC segmentation, least-privilege security groups, and automated database failover.
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An architectural audit of resilient multi-AZ 3-tier systems on AWS, detailing VPC segmentation, least-privilege security groups, and automated database failover.
A foundational source audit establishing the mathematical formulations, optimization landscapes, and bias-variance trade-offs of classical machine learning algorithms.

A technical source audit and systems roadmap for production RAG: structural ingestion, hybrid lexical-dense retrieval, reranking, and continuous eval gating.
Meta’s CRAG re-read at arXiv v2 and its pinned repository: how the 1/0/−1 truthfulness score works, why plain RAG raised accuracy but cut truthfulness, and what KDD Cup changed.
A source audit analyzing the production LLM stack, evaluating data ingestion pipelines, vector indexing, serving engines, evaluation, and observability.

An architectural source audit of Parameter-Efficient Fine-Tuning (PEFT), deconstructing low-rank factorization in LoRA, LoRA-FA, VeRA, LoRA+, and QLoRA quantization.

A source audit analyzing Microsoft’s AgentEval, evaluating CriticAgent, QuantifierAgent, and VerifierAgent dynamics for autonomous task validation.
An architectural audit of modern production web systems, decomposing the ten essential layers: edge routing, L7 ingress, caching, async events, and observability.
An architectural audit of Meta CoPE, analyzing dynamic position gating, fractional interpolation, subword abstraction, and attention scaling beyond rigid token indices.

A bounded source audit finds plain-loss examples, post-encoding slicing, and a 384-versus-768 model substitution where the recipe trains nested prefixes.
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