Remove Auto-classification Remove BERT Remove Responsible AI
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Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

AWS Machine Learning Blog

Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. The code can be found on the GitHub repo. eks-create.sh

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Google Research, 2022 & beyond: Algorithmic advances

Google Research AI blog

Relative performance results of three GNN variants ( GCN , APPNP , FiLM ) across 50,000 distinct node classification datasets in GraphWorld. While we have trained BERT and transformers with DP, understanding training example memorization in large language models (LLMs) is a heuristic way to evaluate their privacy.

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Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

AWS Machine Learning Blog

It is a family of embedding models with a BERT-like architecture, designed to produce high-quality embeddings from text data. TEI is a high-performance toolkit for deploying and serving popular text embeddings and sequence classification models, including support for FlagEmbedding models. Deploy the model to SageMaker.

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Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

We also support Responsible AI projects directly for other organizations — including our commitment of $3M to fund the new INSAIT research center based in Bulgaria. Dataset Description Auto-Arborist A multiview urban tree classification dataset that consists of ~2.6M