AWS Machine Learning Blog This is a guest post co-written with Michael Feil at Gradient. Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment. The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to improve the […]Continue reading
AWS Machine Learning Blog Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. 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 […]Continue reading
AWS Machine Learning Blog This blog post is co-written with Hwalsuk Lee at Upstage. Today, we’re excited to announce that the Solar foundation model developed by Upstage is now available for customers using Amazon SageMaker JumpStart. Solar is a large language model (LLM) 100% pre-trained with Amazon SageMaker that outperforms and uses its compact size […]Continue reading
Coronavirus | The Guardian Exclusive: Multi-dose vials could push up charge per patient, with experts warning cost could widen inequalitiesCheaper private Covid jabs could end up being just as expensive as their pricier alternative because the vaccine must be given in groups of five, experts have warned.Boots and pharmacies that partner with the company Pharmadoctor […]Continue reading
Human Resources News – Human Resources News Headlines | Bizjournals.com Send your leadership questions to Marcia Daszko at md@mdaszko.com. Q. We have a team environment where people criticize, blame and judge others. How can we improve this? A. Dysfunctional behaviors where people (management and employees) criticize, blame and judge others is not healthy for the […]Continue reading
AWS Machine Learning Blog This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the performance and ease of running PyTorch 2.0 on AWS. Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in […]Continue reading
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