Latest posts
- How AI speeds patient classification and recruitment in clinical trials
- The medical industry is exploding with data. Manually labeling data for clinical trials is a challenge. Fortunately, AI can help. ... - Which is better, retrieval augmentation (RAG) or fine-tuning? Both.
- Professionals in the data science space often debate whether RAG or fine-tuning yields the better result. The answer is “both.” ... - Former U.S. Chief Data Scientist on past and future of data science - Past U.S. Chief Data Scientist DJ Patil talked with Snorkel AI CEO Alex Ratner on topics including the origin of the title “data scientist.” ...
- How we matured our ML-on-Kubernetes capabilities and saved on cloud costs
- As Snorkel Flow’s customer base and ML product capabilities have scaled, our cloud costs have unsurprisingly increased. In order to grow efficiently, we set out to understand how we can improve our margins while operating state-of-the-art ML software. Although inefficiencies in cloud spend are common among growing SaaS businesses, it is… ... - 4 new papers show foundation models can build on themselves
- The surest way to improve foundation models is through more and better data, but Snorkel researchers showed FMs can learn from themselves. ... - How GPT helped expand our marketing team’s capacity
- GPT-3 unlocked additional capacity by automating first drafts of internal updates—including blog summaries and sample tweets. ... - How AI saves money and improves banking complaint handling - Handling complaints effectively and efficiently with AI is essential to maintain customer satisfaction and protect the bank's reputation. ...
- How Wayfair built better, faster catalog tagging with Snorkel Flow
- The following was originally published on Wayfair’s tech blog. We have cross-posted it here, edited only to fit Snorkel’s formatting guidelines. -- One of our missions at Wayfair is to help our 22 million customers find the products they are looking for. For example, when a customer searches for a “modern… ...
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