The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.
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PrivateGPT for Book Summarization: Testing and Ranking Configuration Variables
Manage episode 395724917 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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. Learn more about this writer by checking @cognitivetech's about page, and for more stories, please visit 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.
476 episodes
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Manage episode 395724917 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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. Learn more about this writer by checking @cognitivetech's about page, and for more stories, please visit 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.
476 episodes
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Similar to Machine Learning Tech Brief By HackerNoon
The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.
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He was born Hamish Watson, a surfie dude from Sydney – but he could morph into whatever you needed him to be. Hamish is due to be sentenced to jail in early 2019 for swindling a handful of victims out of more than $7m. But these crimes are just the final pages in a resume too thick to staple; for decades he’s duped victims in the US, Canada, Britain, Hong Kong and Australia. How did he do it? How did he evade authorities around the world for so long and what’s he done with all those tens of ...
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