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The New York Times wants OpenAI and Microsoft to pay for training data

TechCrunch

The New York Times is suing OpenAI and its close collaborator (and investor), Microsoft, for allegedly violating copyright law by training generative AI models on Times’ content. All rights reserved.

Training 356
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Efficiently train models with large sequence lengths using Amazon SageMaker model parallel

AWS Machine Learning - AI

Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length. This approach reduces memory pressure and enables efficient training of large models.

Training 111
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Strong Compute raises $7.8M seed round to speed up ML training pipelines

TechCrunch

Strong Compute , a Sydney, Australia-based startup that helps developers remove the bottlenecks in their machine learning training pipelines, today announced that it has raised a $7.8 ” Strong Compute wants to speed up your ML model training. . ” Strong Compute wants to speed up your ML model training.

Training 278
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Rising Team, with $3 million seed, is a platform that combines management tools with training

TechCrunch

But she’s identified a problem that most people managers will all too clearly understand: training and tools to be a great manager are at a shortage. Dulski explained that there are some tools for managers, like surveys from Gallup and Glint, and there are training options, like executive coaches.

Training 248
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Zoom knots itself a legal tangle over use of customer data for training AI models

TechCrunch

The recent terms & conditions controversy sequence goes like this: A clause added to Zoom’s legalese back in March 2023 grabbed attention on Monday after a post on Hacker News claimed it allowed the company to use customer data to train AI models “with no opt out” Cue outrage on social media.

Training 246
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Formation raises $4M led by Andreessen Horowitz to train truly ‘exceptional’ software engineers

TechCrunch

Frustrated, she decided to try training engineers to meet her team’s hiring standards by mentoring at a local coding bootcamp. For one, they wanted to offer personalized training to help people not just learn to code, but to become “exceptional” software engineers. 13 investors say lifelong learning is taking edtech mainstream.

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You still don’t need a feature store

Xebia

Unfortunately, the blog post only focuses on train-serve skew. Feature stores solve more than just train-serve skew. In a naive setup features are (re-)computed each time you train a new model. This lets your teams train models without repeating data preparation steps each time. You train a model with these features.

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