Articles

  • Nov 25, 2024 | microsoft.com | Darren Edge |Ha Trinh |Jonathan Larson |Brenda Potts

    The GraphRAG project (opens in new tab) aims to expand the class of questions that AI systems can answer over private datasets by leveraging the implicit relationships within unstructured text. A key advantage of GraphRAG over conventional vector RAG (or “semantic search”) is its ability to answer global queries that address the entire dataset, such as “what are the main themes in the data?”, or “what are the most important implications for X?”.

  • Apr 30, 2024 | bworldonline.com | Brontë H. Lacsamana |Jonathan Larson

    By Brontë H. Lacsamana, ReporterTheater ReviewRentBy Jonathan LarsonDirected by Robbie GuevaraPresented by 9 Works TheatricalON Christmas Eve, filmmaker Mark Cohen and musician Roger David once again find themselves cold and broke in the middle of the harsh Manhattan winter. The rent is due on the old apartment they live in, owned by their former roommate Benjamin “Benny” Coffin III.

  • Feb 29, 2024 | broadwayworld.com | Jonathan Larson |Natalia Jarczynska

    Some discoveries will change your life forever. My life was transformed when I first tried a date caramel made with three ingredients: dates, peanut butter, and hot water. A little lemon juice and salt makes it even more delicious. This is also the lesson I learned from this show: to make something perfect, you don't need to mix three hundred elements, if you have the right ingredients, you need a lot less. In Tick, Tick...

  • Feb 21, 2024 | australianstage.com.au | Jonathan Larson |Heather L. Bloom

    I think I finally get it. For 28 years, musical theatre fans have sung (pardon the pun) the praises of Jonathan Larson’s take on Puccini’s La Bohéme. I am of course, referring to Larson’s gritty 90s musical, RENT. When the show opened in 1996 it tapped into a unique moment in the cultural zeitgeist. RENT was revolutionary in the way it approached the AIDS epidemic, addiction, poverty, sexuality and gender.

  • Feb 13, 2024 | msft.it | Jonathan Larson |Steven Truitt |Brenda Potts

    Perhaps the greatest challenge – and opportunity – of LLMs is extending their powerful capabilities to solve problems beyond the data on which they have been trained, and to achieve comparable results with data the LLM has never seen. This opens new possibilities in data investigation, such as identifying themes and semantic concepts with context and grounding on datasets.

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