Blog
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Tuning and Testing Llama 2, FLAN-T5, and GPT-J with LoRA, Sematic, and Gradio
Fine-tune FLAN-T5 and GPT-J with Sematic and serve them with Gradio. Read our in-depth article.
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How Voxel cut model retraining time by 80%
Voxel uses Sematic to increase productivity across their Machine Learning (ML) team and retrain Computer Vision models faster. Sematic enabled Voxel to reduce their model turnaround time from 3 weeks to 3 days at a 20x cost saving.
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Release Notes – 0.31.0
Read up on what's new in 0.31.0: GitHub integration, real-time metrics, LLM example, and native dependency packaging.
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ML Orchestration: Why It's Time to Move Past Airflow
While Airflow is a very popular DAG execution tool, it lacks many necessary features to be a suitable ML orchestration platform.
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5 Tips to Reduce your ML Cloud Costs
Machine Learning workloads can quickly run up your cloud bill. Here are 5 tips to keep it under control.
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Release Notes – 0.29.0
Read up on the latest new features and improvements. Pipeline metrics, Function timeouts, Kubernetes Pod lifecycle in the UI, and more.
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Sematic + Ray: The Best of Orchestration and Distributed Compute at your Fingertips
Sematic and Ray combined open a word of possibilities for your ML pipelines. Read up on how to get the best orchestration and distributed compute.
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Release Notes – 0.27.0
Read up on what we shipped in our latest release. Python 3.10 support, Ray integration, run caching and more.
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Getting started with Sematic in 5 minutes
Learn how to get started and implement your first Sematic pipeline on your local machine in less than 5 minutes.
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Implementing Deep Links in React with Atoms
How to restore an application's state from URL hashes for easier bookmarking and sharing.
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Release Notes – 0.22.1
Read up on what we shipped in 0.22.1. Helm chart, deep links, reruns, and more!
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Observability for Machine Learning: what is it and what are the benefits
What does observability mean for Machine Learning pipelines?
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What is Lineage Tracking in Machine Learning and why you need It
We explain what Lineage Tracking is and why it is a requirement for any production-grade ML system.
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Sematic raises $3M to build an open-source Continuous Machine Learning platform
We are announcing a $3M seed funding round led by Race Capital.
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Continuous Learning for safer and better ML models
Continuous Learning processes can help ML teams automate regression testing and re-training with new data for greater safety and performance.
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What is “production” Machine Learning?
What is an ML production system and what guarantees does it come with?
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Hello World
We are Sematic. We are building open-source ML tools and platforms based on our experience working in the robotaxi industry.