Skip to main content
Decoding Intelligence

Research & Insights

Deep dives into production AI architectures, failure patterns, and the evolution of autonomous systems.

6 articles 24 topics

Multi-Agent Orchestr

Featured

Multi-Agent Orchestration Protocols in Production: Lessons from 10M Invocations

An architectural deep dive into inter-agent consensus mechanisms, memory retention layers, and state machine recovery when operating multi-agent systems at enterprise scale.

12 min read views
#Multi-Agent #Orchestration #State Machines
9 min read

RAG at Petabyte Scale: Hybrid Dense-Sparse Vector Retrieval Systems

Combining BM25 lexical search with OpenAI text-embedding-3 vectors to eliminate hallucination in high-compliance financial and legal knowledge bases.

#RAG #Vector Search
15 min read

Zero Trust Cybersecurity for Autonomous AI Models & LLM Endpoints

Protecting corporate AI agents from prompt injection, memory poisoning, data exfiltration, and adversarial guardrail bypasses.

#AI Security #Zero Trust
10 min read

Production MLOps: Automated Concept Drift Detection and Retraining Loops

How to detect model decay in live production streams using Kolmogorov-Smirnov statistical tests and containerized Kubeflow pipelines.

#MLOps #Drift Monitoring
11 min read

Optimizing LLM Inference Costs: Reducing Compute Spend by 65% with vLLM & AWQ

How to deploy custom open-weights models on private GPU clusters, cutting API costs while improving throughput by 4x.

#Inference #vLLM
14 min read

Fine-Tuning Reasoning Models for Domain-Specific Enterprise Contracts

A practical guide to Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) on reasoning LLMs for specialized legal and financial compliance.

#Fine-Tuning #DeepSeek