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Found 2 Skills
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.
Erklärt einer Person ohne Vorwissen den SSH-Schlüssel mit dem Bild von Hausschlüssel und Schloss, erzeugt das Schlüsselpaar lokal auf ihrem Computer, hinterlegt nur den öffentlichen Teil bei Albatros und testet den ersten Besuch auf dem Server. Nutze den Skill bei «SSH-Schlüssel», «ssh-keygen», «ich komme nicht auf meinen Server», «Permission denied (publickey)», «was ist ein public key», «neuer Computer», und als Schritt 4 von /albatros:start.