Flipboard

DECEMBER 12, 2024

AI, machine learning (ML), and data science infuse our daily lives, from the recommendation functionality on music apps to technologies that

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NYU Center for Data Science

SEPTEMBER 28, 2023

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers. What does it mean to work in NLP in the age of LLMs?

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Towards AI

APRIL 7, 2024

Additionally, the elimination of human loop processes has made it possible for AI/ML to construct training data for data annotation and labeling, which has a major influence on geospatial data. This function can be improved by AI and ML, which allow GIS to produce insights, automate procedures, and learn from data.

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Towards AI

APRIL 25, 2024

Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI. Proj3ctg and their team are looking for someone well-versed in AI, ML, Unity, Stable Diffusion, and control nets.

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Towards AI

NOVEMBER 16, 2023

Samyssmile is building EDUX, an open-source Java ML Library, and is looking for developers and testers. Meme shared by rucha8062 Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI.

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The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. Supporting the operations of data scientists and ML engineers requires you to reduce—or eliminate—the engineering overhead of building, deploying, and maintaining high-performance models.

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Heartbeat

MARCH 21, 2023

ML models use loss functions to help choose the model that is creating the best model fit for a given set of data (actual values are the most like the estimated values). Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free!

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