Machine learning

Documentation reference for writing Python code using the browser-use open-source library.

Read-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings.

Find and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket.

Wire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change.

Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.

Drive a locally built server with a real client: the Inspector CLI (scripted), the Inspector web UI (by hand) and an LLM client.

Use verified service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.

Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.

Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks.

Work with Prime Intellect products via the prime CLI and Python SDKs - verifiers environments and the Environments Hub, evaluations (local and hosted), Hosted…

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.

Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training.

A.I.G Scanner — AI security scanning for infrastructure, AI tools / skills, AI Agents, and LLM jailbreak evaluation via Tencent Zhuque Lab AI-Infra-Guard.

Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor…

Detect indirect prompt injection (goal hijack).

Detect persistent-memory poisoning and RAG/knowledge-base contamination via dialogue testing.

Find implementable ML training recipes from papers, datasets, docs, and code.

Design n8n AI agents the right way.

Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node.

Run read-only deep repository analysis and return a ranked synthesis with explicit confidence, concrete file references, and clear evidence-vs-inference…

Use when authoring or validating Cosmos Data Factory (CDF) augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls)…