~/talks

Antje Barth

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titleconferencedate
Building Agents at Cloud ScaleAI Engineer World's Fair 20252025-06-03
Demo shows a code-assistant agent shipped to CLI in 3 weeks, using an open-source Strand agents SDK that defaults to Amazon Bedrock but also plugs into OpenAI…
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Improving disaster response with machine learningAmazon re:MARS 20222022-06-21
A community hackathon yields 1,400 participants, 42 submissions and five winners that actually ship reproducible code and data: examples include a…
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Automate your ML workflows with pipelinesConf42 Machine Learning 20212021-07-29
Builds an end-to-end ML pipeline using Amazon SageMaker Pipelines that preprocesses text, generates embeddings, fine-tunes a pre-trained BERT model with a…
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Build consistent and portable ML environments with containersAWS re:Invent 20202020-11-30
Prototype fine‑tuned a DistilBERT text classifier (star ratings) using Hugging Face tokenizers and TFRecords, then packages the training code in Docker, runs…
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Put Your Machine Learning on AutopilotScale By the Bay 20202020-11-12
Shows a concrete AutoML pipeline that takes the Amazon Customer Reviews CSV (130M records available, demo uses camera category), loads a pre-trained bird model…
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Owning Your Own (Data) Lake HouseData Con LA 20202020-10-23
Demonstrates an Amazon Redshift lake house that queries S3, Redshift and RDS without moving data by using Redshift Spectrum to push down SQL, federated queries…
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Building End-to-End Machine Learning Workflows with Kubernetes...Global Artificial Intelligence Virtual Conference Sep 20202020-09-16
Shows a concrete end-to-end setup: building Kubeflow Pipelines with the kfp SDK (version shown), running on Kubernetes/EKS and orchestrating Amazon SageMaker…
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Build NLP Models with Amazon SageMakerAWS Summit Online EMEA 20202020-09-01
Demo shows end-to-end BERT fine-tuning on Amazon SageMaker using TensorFlow (script mode), with HuggingFace DistilBERT tokeniser and TFRecord features derived…
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