GitHub

Train machine learning models within a Docker container using Amazon SageMaker.

Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models.
GitHub

The LLM Evaluation Framework

DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating large-language model systems. It is similar to Pytest but specialized for unit testing LLM apps. DeepEval incorporates ...
IEEE

Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier

Abstract: The system operators usually need to solve large-scale unit commitment problems within limited time frame for computation. This paper provides a pragmatic solution, showing how by learning ...
TechCrunch

Kolena, a startup building tools to test AI models, raises $15M

Kolena, a startup building tools to test, benchmark and validate the performance of AI models, today announced that it raised $15 million in a funding round led by Lobby Capital with participation ...
IEEE

Machine Learning Assisted Stochastic Unit Commitment During Hurricanes With Predictable Line Outages

Abstract: Stochastic unit commitment is an efficient method for grid operation in the presence of significant uncertainties. An example is an operation during a predicted hurricane with uncertain line ...