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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

Yet these powerful models also pose concerning risks around reproducing copyrighted or plagiarized content without proper attribution. During training, the AI searches for patterns and statistical relationships in this vast pool of data. Record metadata like licenses, tags, creators, etc. Avoid opaque models.

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Best JupyterLab Extensions for Machine Learning Research (2023)

Marktechpost

JupyterLab Celltags Users may quickly create, examine, and change descriptive tags for notebook cells with the JupyterLab cell tags plugin. The add-on allows picking every cell that matches a specific tag, enabling the execution of any operation on those cells. This is a given while coding.

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How we developed a GPT?based solution for extracting knowledge from documents

deepsense.ai

A great way to see what a token is would be to visit the OpenAI tokenizer page which graphically displays it for your text. Each uploaded document has 3 tags useful for searching, clustering and prompt tuning. Each uploaded document has 3 tags useful for searching, clustering and prompt tuning.

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Watch all Future of Data-Centric AI 2023 videos now!

Snorkel AI

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. Wayfair does this by automating image tagging using a data-centric approach. How can we convert these capabilities into reliable, production-grade applications?

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Watch all Future of Data-Centric AI 2023 videos now!

Snorkel AI

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. Wayfair does this by automating image tagging using a data-centric approach. How can we convert these capabilities into reliable, production-grade applications?