accelerated-data-science

Complete CLI reference for the ADS AQUA command-line interface (ads aqua). Covers all model, deployment, evaluation, and fine-tuning commands with full parameter documentation. Triggered when user asks about CLI commands, wants to run AQUA operations from terminal, or needs command syntax.

Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling. Triggered when user wants to deploy, update, or manage model deployments.

Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA). Covers dataset preparation, evaluation job creation, and report interpretation. Triggered when user wants to evaluate or benchmark a model.

Fine-tune LLM models using LoRA on OCI AI Quick Actions (AQUA). Covers dataset preparation (instruction, conversational, multimodal, tokenized formats), hyperparameter tuning, distributed training, and training metrics. Triggered when user wants to fine-tune or customize a model.

Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI. Covers the signing proxy, container registry setup, OCI Container Instance deployment, and PromQL dashboards. Triggered when user wants to monitor LLM deployments, view TTFT/latency/throughput metrics, or set up observability for AQUA.

Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK. Triggered when user wants to import models from HuggingFace or Object Storage, browse available models, or manage model catalog entries.

Diagnose and fix OCI AI Quick Actions (AQUA) issues including deployment failures, OOM errors, authorization problems, capacity issues, container errors, and policy misconfigurations. Triggered when user encounters errors or needs help debugging AQUA workflows.

OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA. Triggered when user asks about OCI Data Science Jobs, ML Pipelines, model artifacts, conda environments, or general ADS SDK usage.