AI - IoT Digital Twin PLM

RAG Evaluation Architecture: Faithfulness, Context Precision, and RAGAS-Style Metrics (2026)

By MPRAUTO MPRAUTO July 2, 2026AINo Comments

How to evaluate RAG systems in production: faithfulness, context precision/recall, answer relevancy, RAGAS-style metrics, golden sets, and an evaluation pipeline architecture.

Qwen3.6 Explained: Hybrid MoE Architecture, 1M Context, and Benchmarks

By MPRAUTO MPRAUTO June 29, 2026AINo Comments

Qwen3.6 explained: Alibaba's hybrid Gated DeltaNet MoE flagship, the open-weight 27B and 35B-A3B variants, 1M-token context, benchmarks, license, pricing, and how to deploy it.

Feature Store Architecture: Online/Offline Parity and Point-in-Time Correctness

By MPRAUTO MPRAUTO June 29, 2026AINo Comments

A feature store architecture deep-dive: online/offline parity, point-in-time correct joins, materialization, and the registry - how to stop training/serving skew in production ML.

Confidential AI Inference: TEEs and GPU Confidential Computing (2026)

By MPRAUTO MPRAUTO June 29, 2026AINo Comments

How confidential AI inference works: CPU and GPU trusted execution environments, attestation, H100/Blackwell confidential computing, and a reference architecture for regulated LLM workloads.

Llama 4 Explained: Scout, Maverick, and Behemoth (MoE)

By MPRAUTO MPRAUTO June 28, 2026AINo Comments

Llama 4 explained: Meta's Scout, Maverick, and Behemoth mixture-of-experts models - architecture, context window, benchmarks, license, and how to deploy them.

Vector Database Benchmarks 2026: 4 Ranked by QPS, Recall & Cost

By MPRAUTO MPRAUTO June 28, 2026AI1 Comment

A 2026 vector database benchmark: Pinecone, Weaviate, Qdrant, and Milvus on recall, latency, throughput, and cost - with what changed in the second half of 2026.

AI Model Supply Chain Security: SBOM, Signing, Provenance

By MPRAUTO MPRAUTO June 28, 2026AI1 Comment

AI model supply chain security in 2026: model SBOMs, signing and attestation, poisoned weights, registry trust, and provenance for the ML pipeline.

LLM Observability and LLMOps: Tracing, Evals, Drift

By MPRAUTO MPRAUTO June 28, 2026AINo Comments

An LLM observability and LLMOps architecture: OpenTelemetry GenAI traces, spans, online evals, and drift detection for production LLM and agent systems.

GPT-5.6 Explained: OpenAI’s Sol, Terra, and Luna

By MPRAUTO MPRAUTO June 27, 2026AI3 Comments

GPT-5.6 explained: OpenAI's Sol, Terra, and Luna tiered family - architecture signals, reasoning modes, benchmarks, pricing, access, and how it compares in 2026.

Embedding Models Benchmark: OpenAI, Cohere, Voyage, BGE

By MPRAUTO MPRAUTO June 27, 2026AI1 Comment

A 2026 embedding models benchmark: OpenAI, Cohere, Voyage, and BGE on retrieval quality, dimensions, cost, and MTEB - with what changed for 2026.

RAG Evaluation Architecture: Faithfulness, Context Precision, and RAGAS-Style Metrics (2026)

Qwen3.6 Explained: Hybrid MoE Architecture, 1M Context, and Benchmarks

Feature Store Architecture: Online/Offline Parity and Point-in-Time Correctness

Confidential AI Inference: TEEs and GPU Confidential Computing (2026)

Llama 4 Explained: Scout, Maverick, and Behemoth (MoE)

Vector Database Benchmarks 2026: 4 Ranked by QPS, Recall & Cost

AI Model Supply Chain Security: SBOM, Signing, Provenance

LLM Observability and LLMOps: Tracing, Evals, Drift

GPT-5.6 Explained: OpenAI’s Sol, Terra, and Luna

Embedding Models Benchmark: OpenAI, Cohere, Voyage, BGE

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