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      <title>Serving TensorFlow Models with a Custom Environment</title>
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      <description>Build a custom serving environment to run TensorFlow models with extra dependencies.</description>
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      <title>TensorFlow Serving: Handling Content Types</title>
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      <pubDate>Sat, 29 Jul 2023 13:33:38 +0700</pubDate>
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      <description>Explore how TensorFlow Serving handles different request content types for inference.</description>
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      <title>Building a Feature Store for Machine Learning</title>
      <link>https://hoangph3.github.io/posts/feature_store/</link>
      <pubDate>Sat, 29 Jul 2023 13:32:54 +0700</pubDate>
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      <description>Design and proposal for a feature store to serve consistent features for training and serving.</description>
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    <item>
      <title>Data Mining - Deep Dive into Big Data Pipelines</title>
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      <pubDate>Sat, 29 Jul 2023 13:32:54 +0700</pubDate>
      <guid>https://hoangph3.github.io/posts/data_pipeline/</guid>
      <description>Build a big-data pipeline stack combining Airflow, Spark and Kafka clusters with Docker.</description>
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      <title>Serving TensorFlow Models with JSON Requests</title>
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      <pubDate>Thu, 27 Jul 2023 22:18:49 +0700</pubDate>
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      <description>Send and parse JSON prediction requests against a TensorFlow Serving model.</description>
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      <title>Serving Custom TensorFlow Models</title>
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      <pubDate>Wed, 26 Jul 2023 00:43:34 +0700</pubDate>
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      <description>Package and serve a custom TensorFlow model signature with TensorFlow Serving.</description>
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      <title>Serving Multiple TensorFlow Models with Monitoring</title>
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      <pubDate>Wed, 26 Jul 2023 00:02:51 +0700</pubDate>
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      <description>Serve multiple TensorFlow models simultaneously and monitor them with Prometheus and Swagger.</description>
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    <item>
      <title>Integrating Seldon Core with Kafka</title>
      <link>https://hoangph3.github.io/posts/seldon_core_kafka_integration/</link>
      <pubDate>Fri, 02 Dec 2022 01:06:21 +0700</pubDate>
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      <description>Stream predictions in and out of Seldon Core model deployments using Kafka.</description>
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      <title>Building Inference Graphs with Seldon Core</title>
      <link>https://hoangph3.github.io/posts/seldon_core_inference_graph/</link>
      <pubDate>Thu, 01 Dec 2022 21:13:24 +0700</pubDate>
      <guid>https://hoangph3.github.io/posts/seldon_core_inference_graph/</guid>
      <description>Compose multi-step inference graphs (transformers, combiners, routers) with Seldon Core.</description>
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      <title>Orchestrating ML Workflows with Seldon Core</title>
      <link>https://hoangph3.github.io/posts/seldon_core_workflows/</link>
      <pubDate>Thu, 01 Dec 2022 21:01:58 +0700</pubDate>
      <guid>https://hoangph3.github.io/posts/seldon_core_workflows/</guid>
      <description>Automate model deployment workflows on top of Seldon Core.</description>
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      <title>Deploying Your First Model with Seldon Core</title>
      <link>https://hoangph3.github.io/posts/seldon_core_first_model/</link>
      <pubDate>Thu, 01 Dec 2022 21:01:41 +0700</pubDate>
      <guid>https://hoangph3.github.io/posts/seldon_core_first_model/</guid>
      <description>Deploy a first machine learning model on Kubernetes using Seldon Core, including authentication basics.</description>
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      <title>Building Kubeflow Pipeline Components</title>
      <link>https://hoangph3.github.io/posts/kubeflow_pipeline_components/</link>
      <pubDate>Tue, 01 Nov 2022 23:03:34 +0700</pubDate>
      <guid>https://hoangph3.github.io/posts/kubeflow_pipeline_components/</guid>
      <description>Create custom and reusable components for Kubeflow Pipelines.</description>
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      <title>Distributed Training with TensorFlow</title>
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      <pubDate>Tue, 01 Nov 2022 23:03:34 +0700</pubDate>
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      <description>Train TensorFlow models across multiple workers using distributed training strategies.</description>
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      <title>Autoscaling TensorFlow Serving on Kubernetes</title>
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      <pubDate>Fri, 30 Sep 2022 22:13:01 +0700</pubDate>
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      <description>Set up horizontal pod autoscaling for a TensorFlow Serving deployment on Kubernetes.</description>
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