AI BriefingSnorkel AI Strengthens Enterprise FM Utilization
·2023.04.06 09:00
Key point
Snorkel AI is expanding its enterprise foundation model development environment by leveraging Hugging Face's Inference Endpoint.
Details
Snorkel AI is partnering with Hugging Face through its Snorkel Flow platform to enable enterprises to tailor foundation models (FMs) to specific use cases.
Key aspects of the collaboration include:
- Model Library Utilization: Snorkel Flow can immediately leverage Hugging Face's over 150,000 open-source models for initial predictions and fine-tuning.
- Programmatic Labeling: Model predictions are used as initial labels, and Programmatic Labeling supports an iterative "detect and correct" process that fixes errors and improves model quality.
- Cost and Operational Efficiency: By adopting Hugging Face's Inference Endpoint service, a variety of models are offered at low cost, and a "pause and resume" feature that activates model APIs only when needed optimizes infrastructure costs.
Through this, enterprises can build high-quality, customized AI applications without the burden of directly collecting large-scale data or training models from scratch.
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