Remove How To Remove Machine Learning Remove Training
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5 machine learning essentials nontechnical leaders need to understand

TechCrunch

We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” When it comes to recruiting for ML, hire experts when you can, but also look into how training can help you meet your talent needs.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. What is model debugging?

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Leveraging AMPs for machine learning

CIO

The problem is that it’s not always clear how to strike a balance between speed and caution when it comes to adopting cutting-edge AI. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time.

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Stability AI backs effort to bring machine learning to biomed

TechCrunch

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.

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OctoML raises $28M Series B for its machine learning acceleration platform

TechCrunch

OctoML , a Seattle-based startup that offers a machine learning acceleration platform build on top of the open-source Apache TVM compiler framework project , today announced that it has raised a $28 million Series B funding round led by Addition. We look forward to supporting the company’s continued growth.”

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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 101
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Baseten nabs $20M to make it easier to build machine learning-based applications

TechCrunch

Today, one of these, Baseten — which is building tech to make it easier to incorporate machine learning into a business’ operations, production and processes without a need for specialized engineering knowledge — is announcing $20 million in funding and the official launch of its tools.