Latest posts
- Snorkel AI and Together AI empower enterprises to build proprietary LLMs
- Snorkel AI announced a strategic partnership with Together AI to enable organizations to build their own proprietary LLMs on their data. ...
- Snorkel Flow Summer 2023: faster, easier and more secure
- This release eases Snorkel Flow application creation process and tightens the iteration loop. It also upgrades our security certifications. ...
- How NVIDIA Omniverse bolsters AI with synthetic data
- NVIDIA's Nyla Worker presented “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” in 2022. ...
- Google experts on practical paths to data-centricity in applied AI
- Google experts Abhishek Ratna and Robert Crowe discuss practical paths to data-centricity in applied AI at The Future of Data-Centric AI '22. ...
- How to build reusable data cleaning pipelines with scikit-learn
- State Farm senior data scientist Jason Goldfarb presented “Reusable Data Cleaning Pipelines in Python” at the Future of Data-Centric AI 2022. ...
- Arize AI on How to apply and use machine learning observability
- Jack Zhou, product manager at Arize, on “How to Apply Machine Learning Observability to Your ML System” from The Future of Data-Centric AI ...
- The future of large language models is faster and more robust
- Snorkel and affiliated academic labs have been hard at work reducing how computationally expensive large language models are. ...
- Claypot AI CEO on why you should deploy models the hard way
- Claypot AI CEO Chip Huyen presented “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI 2022. ...
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