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https://uppmax.github.io/LLM-workshop/day3/evaluation_metrics/
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https://uppmax.github.io/LLM-workshop/day3/hyperparameter_tuning/
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https://uppmax.github.io/LLM-workshop/day3/post_training/
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https://uppmax.github.io/LLM-workshop/day3/tools/
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https://uppmax.github.io/LLM-workshop/day3/prompt_engineering/
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https://uppmax.github.io/LLM-workshop/day2/rag/
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https://uppmax.github.io/LLM-workshop/day2/multimodal/
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https://uppmax.github.io/LLM-workshop/day2/parallelization_schemes/
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https://uppmax.github.io/LLM-workshop/day2/quantization/
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https://uppmax.github.io/LLM-workshop/day2/data_pipelines/
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https://uppmax.github.io/LLM-workshop/day1/llm_formats/
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https://uppmax.github.io/LLM-workshop/day1/llm_hardware/
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https://uppmax.github.io/LLM-workshop/day1/inference/
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https://uppmax.github.io/LLM-workshop/day1/public_llms/
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NAISS LLM Workshop November 2025 day 1 part 1 Introduction https://uppmax.github.io/LLM-workshop/day1/introduction/
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Introduction to Alvis, the NAISS cluster for AI and machine learning. New seminars are announced at https://www.naiss.se/training/ and https://indico.chalmers.se/category/39/
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