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Reusable instructions for compatible AI agents.
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Use locally-hosted LLMs (vLLM/SGLang) for dataset filtering, quality scoring, rewriting, labeling, and synthetic data generation. Covers LLM-as-judge scoring, structured output filtering, batch inference pipelines, and 2025-2026 techniques (DataRater, perplexity filtering, curriculum scoring, LLM...
Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible API endpoint using vLLM, SGLang, or TRT-LLM. Use when user says "deploy model", "serve model", "start vLLM server", "launch SGLang", "TRT-LLM deploy", "AutoDeploy", "benchmark throughput", "serve checkpoint", or needs an infe...
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by zxmengde. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by ComeOnOliver. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Engineer, Product Manager, published by diegosouzapw. Project details and file access are provided by the publisher.
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