cover of episode PrivateGPT for Book Summarization: Testing and Ranking Configuration Variables

PrivateGPT for Book Summarization: Testing and Ranking Configuration Variables

2024/1/16
logo of podcast Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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This story was originally published on HackerNoon at: https://hackernoon.com/privategpt-for-book-summarization-testing-and-ranking-configuration-variables). Summarizing books with local llm. My methods for testing and optimizing the use of PrivateGPT for book summaries. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning). You can also check exclusive content about #open-source-llm), #llm-optimization), #huggingface-book-summarizer), #mistral-book-summarizer), #ai-book-summarizer), #book-summarizer-gpt), #create-ai-book-summarizer), #hackernoon-top-story), and more.

        This story was written by: [@cognitivetech](https://hackernoon.com/u/cognitivetech)). Learn more about this writer by checking [@cognitivetech's](https://hackernoon.com/about/cognitivetech)) about page,
        and for more stories, please visit [hackernoon.com](https://hackernoon.com)).
        
            
            
            There are many variables when implementing large language models. Lets test and refine our processes for summarizing books using PrivateGPT, powered by NVIDIA RTX 3060 12GB.