3 articles
Foundation Models
Model releases, evaluation, fine-tuning, and inference strategy.
LLMs & GPTFine-TuningEvaluation & BenchmarksInference Optimization
View categoryPractical AI and cloud coverage across foundation models, infrastructure, platforms, MLOps, data engineering, security, and applied AI.
Each desk tracks a different part of the AI/cloud stack.
Model releases, evaluation, fine-tuning, and inference strategy.
GPU clusters, accelerators, orchestration, and capacity planning.
AWS, Azure, Google Cloud, and emerging AI cloud providers.
Pipelines, registries, monitoring, deployment, and governance.
Vector databases, lakehouses, streaming, and feature platforms.
Risk management, red teaming, privacy, and supply chain controls.
Production use cases across agents, search, automation, and analytics.