KDnuggets

JANUARY 23, 2024

Want to make a successful career switch to data science? From learning data science concepts to cracking interviews, read this guide to move one step closer to your first data science job.

Data Science 319

Data Science 319

AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

AWS 84

AWS ML ML Machine Learning 84

AWS Machine Learning Blog

AUGUST 14, 2023

This is useful where limited labeled data is available for training. BLOOM is an autoregressive LLM trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. As such, it is able to output coherent text that is hardly distinguishable from text written by humans.

AWS 71

AWS Natural Language Processing Machine Learning Machine Learning 71

AWS Machine Learning Blog

OCTOBER 20, 2023

However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. It helps enable ML adoption while mitigating risks.

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ML ML AWS Data Lakes 104

Hacker News

DECEMBER 4, 2023

When I landed here, I trusted thousands more people: at the airport, on the road, in this building, in this room. I trusted a lot today. I trusted my phone to wake me on time. I trusted Uber to arrange a taxi for me, and the driver to get me to the airport safely. I trusted thousands of other drivers on the road not to ram my car on the way.

AI 181

AI AI Artificial Intelligence Artificial Intelligence 181

AWS Machine Learning Blog

SEPTEMBER 6, 2023

The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This results in a need for further fine-tuning of these generative AI models over the use case-specific and domain-specific data.

ML 100

ML ML Machine Learning Machine Learning 100

AWS Machine Learning Blog

APRIL 2, 2024

It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation models for generative AI , SageMaker Canvas can help you achieve your goals. Choose Enable with AWS Organizations.

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AWS ML ML Machine Learning 91