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Train self-supervised vision transformers on overhead imagery with Amazon SageMaker

AWS Machine Learning Blog

Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. One way to overcome this challenge is through self-supervised learning (SSL). parquet s3://bigearthnet-s2-dataset/metadata/ aws s3 cp BigEarthNet-v1.0/ tif" --include "_B03.tif"

ML 81
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How to Be a Data Science Instructor with an Engineering Degree?

Mlearning.ai

Towards the end of my studies, I incorporated basic supervised learning into my thesis and picked up Python programming at the same time. I also started on my data science journey by attending the Coursera specialization by Andrew Ng —  Deep Learning. That was in 2017.

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Fine-tune large language models with reinforcement learning from human or AI feedback

Flipboard

Supervised learning can help tune LLMs by using examples demonstrating some desired behaviors, which is called supervised fine-tuning (SFT). 2017) provided the first evidence that RLHF could be economically scaled up to practical applications. 2017) Deep reinforcement learning from human preferences.

AI 147
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AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company

AWS Machine Learning Blog

In an effort to create and maintain a socially responsible gaming environment, AWS Professional Services was asked to build a mechanism that detects inappropriate language (toxic speech) within online gaming player interactions. The solution lay in what’s known as transfer learning.

AWS 86