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D1_01_Overview.ipynb
D1_02_Huggingface_Ecosystem.ipynb
D1_03_Transformer_Architecture.ipynb
D1_04_Tokenization_and_Embeddings.ipynb
D1_05_Hands-on_1.ipynb
D1_06_Quantization.ipynb
D1_07_PEFT.ipynb
D1_08_Unsloth.ipynb
D1_09_Summary.ipynb
D1_10_Hands-on_2.ipynb
D1_10a_Hands-on_2_with_solution.ipynb
D2_01_DDP_example.ipynb
D2_02_HF_Accelerate.ipynb
D2_03_DeepSpeed.ipynb
D2_04_FSDP_example.ipynb
D2_05_Liger_DDP_example.ipynb
D2_06_Evaluation_and_Metrics.ipynb
D2_07_Gradio_example.ipynb
D2_08_Merge_LoRA.ipynb
D2_09 Quantize_Model.ipynb
D2_10 Serve_Model_VLLM.ipynb
D3_01_Prompting_with_LangChain.ipynb
D3_02_Prompt_templates_and_parsing.ipynb
D3_03_Exercise1_Prompts.ipynb
D3_04_Exercise1_Solution.ipynb
D3_05_Chaining.ipynb
D3_06_Exercise2_Chaining.ipynb
D3_07_Exercise2_Solution.ipynb
D3_08_LLM_Evaluation.ipynb
D3_09_LLM_as_a_Judge.ipynb
D3_10_Prompt_Optimization.ipynb
D3_11_BONUS: Gradio_example_VSC.ipynb
D4_01_rag_with_basic_tools.ipynb
D4_02_rag_with_langchain_and_chromadb.ipynb
LICENSE
README.md
download_models_and_datasets.md
README.md

Large Language Models on Supercomputers

Jupyter Notebooks containing exercises & lectures for the Foundations of LLM Mastery training series of the ASC Research Center, TU Wien and EuroCC Austria.

Authors:

  • Simeon Harrison (INiTS and EuroCC Austria)
  • Thomas Haschka (Campus IT / HPC, TU Wien)
  • Martin Pfister (ACA – Advanced Computing Austria GmbH and EuroCC Austria)

License: CC BY-SA 4.0 (Attribution-ShareAlike)

Roadmap and project status: This repository will be continually expanded and updated, usually before and after each run of the Foundations of LLM Mastery training series of the ASC Research Center, TU Wien and EuroCC Austria.

Contributing and error reporting: Please contact training@asc.ac.at if you would like to contribute or found any issues.

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