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Run your own local models and agents using vLLM w/ Cedric Clyburn
Learn how to run open-weight AI models and power local agents, like AI coding tools, using vLLM, an open-source and high-performance inference engine. We’ll cover how to optimize models, expose them via OpenAI-compatible APIs, and tune runtime settings to maximize performance on constrained hardware. We’ll also run live benchmarks to inspect token throughput and balance latency trade-offs, which can be done using any AI serving tool.
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How to resolve merge conflicts in Git without guessing: markers, --ours/--theirs and the rebase flip
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