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You're reading from  Developing Kaggle Notebooks

Product typeBook
Published inDec 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781805128519
Edition1st Edition
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Author (1)
Gabriel Preda
Gabriel Preda
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Gabriel Preda

Dr. Gabriel Preda is a Principal Data Scientist for Endava, a major software services company. He has worked on projects in various industries, including financial services, banking, portfolio management, telecom, and healthcare, developing machine learning solutions for various business problems, including risk prediction, churn analysis, anomaly detection, task recommendations, and document information extraction. In addition, he is very active in competitive machine learning, currently holding the title of a three-time Kaggle Grandmaster and is well-known for his Kaggle Notebooks.
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References

  1. Llama 2, Kaggle Models: https://www.kaggle.com/models/metaresearch/llama-2
  2. Mistral, Kaggle Models: https://www.kaggle.com/models/mistral-ai/mistral/
  3. Gabriel Preda – Test Llama v2 with math, Kaggle Notebooks: https://www.kaggle.com/code/gpreda/test-llama-v2-with-math
  4. Model Quantization, HuggingFace: https://huggingface.co/docs/optimum/concept_guides/quantization
  5. Gabriel Preda – Test Llama 2 quantized with Llama.cpp, Kaggle Notebooks: https://www.kaggle.com/code/gpreda/test-llama-2-quantized-with-llama-cpp
  6. Gabriel Preda – Test of Llama 2 quantized with llama.cpp (on CPU), Kaggle Notebooks: https://www.kaggle.com/code/gpreda/test-of-llama-2-quantized-with-llama-cpp-on-cpu
  7. Gabriel Preda – Simple sequential chain with Llama 2 and Langchain, Kaggle Notebooks: https://www.kaggle.com/code/gpreda/simple-sequential-chain-with-llama-2-and-langchain/
  8. Langchain, Wikipedia page: https://en.wikipedia.org/wiki...
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Developing Kaggle Notebooks
Published in: Dec 2023Publisher: PacktISBN-13: 9781805128519

Author (1)

author image
Gabriel Preda

Dr. Gabriel Preda is a Principal Data Scientist for Endava, a major software services company. He has worked on projects in various industries, including financial services, banking, portfolio management, telecom, and healthcare, developing machine learning solutions for various business problems, including risk prediction, churn analysis, anomaly detection, task recommendations, and document information extraction. In addition, he is very active in competitive machine learning, currently holding the title of a three-time Kaggle Grandmaster and is well-known for his Kaggle Notebooks.
Read more about Gabriel Preda