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Meet the finalists of the Pushback to the Future Challenge

DrivenData Labs

One significant source of uncertainty comes right at the beginning of a flight: the pushback time, that is, the time that a flight leaves the departure gate. Phase 1 Results ¶ This was a university challenge! A more accurate pushback time can lead to better predictability of take off time from the runway.

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Improving your LLMs with RLHF on Amazon SageMaker

AWS Machine Learning Blog

The collected responses (often referred to as demonstration data) are used in a process called supervised fine-tuning (SFT). In this blog post, we illustrate how RLHF can be performed on Amazon SageMaker by conducting an experiment with the popular, open-sourced RLHF repo Trlx. The following diagram illustrates this architecture.

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Monitoring Lake Mead drought using the new Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

Built-in geospatial dataset access saves weeks of effort otherwise lost to collecting data from various data providers and vendors. We download the land cover masks to our local instance to calculate water surface area using open-source libraries. kernel also includes other widely used libraries like GDAL and Rasterio.

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Foundation models: a guide

Snorkel AI

The open-source model, the first to be trained using only a plain-text corpus, quickly became an essential tool for natural language processing researchers. Academic institutions, open-source projects, exciting startups and legacy tech companies all contribute to the advancement of the field.