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AI this week #38
AI this week #38
NYC blocks access to ChatGPT on school networks as cheating fears swirlThe chatbot’s ability to churn out pitch perfect essay responses to prompts spanning a wide range of subjects has sparked fears among some educators that their writing assignments could soon become obsolete — and that the program could encourage...
Muse is a machine learning model that is able to generate images based on text input. It is trained on a task where it is given the text embedding (a mathematical representation of the meaning of a piece of text) from a large language model (a machine learning model that...
Graph machine learning is a subfield of machine learning that is concerned with the development of algorithms and techniques for learning from graph-structured data. Graphs are a flexible and powerful data structure that can be used to represent a wide range of real-world phenomena, including social networks, biological networks, and...
How far can we get with a single GPU in just one day?
Using Dream Fields (described below), it is possible to train a view-consistent NeRF (neural radiance fields) for an object without any images.
As we move into the new year, our focus shifts from learning to creation. We are excited to use the knowledge we have gained to create new and innovative applications using AI. Signup to stay updated.
As you consider which startups to watch in the coming year, keep an eye out for those that are solving real problems and addressing important trends.
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