jmcastagnetto, 20 days ago to llm "Researchers at# Stanford Introduce #SUQL: A Formal Query Language for Integrating Structured and Unstructured #Data" https://www.marktechpost.com/2024/05/04/researchers-at-stanford-introduce-suql-a-formal-query-language-for-integrating-structured-and-unstructured-data/ See paper at: https://arxiv.org/abs/2311.09818, and code at: https://github.com/stanford-oval/suql #UnstructuredData #LLM #StructuredData
"Researchers at# Stanford Introduce #SUQL: A Formal Query Language for Integrating Structured and Unstructured #Data"
https://www.marktechpost.com/2024/05/04/researchers-at-stanford-introduce-suql-a-formal-query-language-for-integrating-structured-and-unstructured-data/
See paper at: https://arxiv.org/abs/2311.09818, and code at: https://github.com/stanford-oval/suql
#UnstructuredData #LLM #StructuredData
carl24k, 6 months ago to ChatGPT What's bigger than #chatgpt 4 for #datascientist 's and #machinelearningengineer 's working in #structureddata ? I'd say its #xgboost 2.0! Now out with 2.0.2 (I never trust a .0 release 😉 ). #llm get all the #aihype these days, but gradient boosting is the revolutionary tech that some say "killed data science" by making it too easy! 2.0 Includes enhancments like #gpu support and learning to rank, not to mention supporting the latest pandas. https://github.com/dmlc/xgboost/releases
What's bigger than #chatgpt 4 for #datascientist 's and #machinelearningengineer 's working in #structureddata ? I'd say its #xgboost 2.0! Now out with 2.0.2 (I never trust a .0 release 😉 ). #llm get all the #aihype these days, but gradient boosting is the revolutionary tech that some say "killed data science" by making it too easy! 2.0 Includes enhancments like #gpu support and learning to rank, not to mention supporting the latest pandas. https://github.com/dmlc/xgboost/releases