

Snorkel AI has introduced new capabilities in its Snorkel Flow platform to streamline the development of specialized AI and ML models for enterprises. These updates include tools for evaluating Generative AI models, improved workflows for fine-tuning large language models (LLMs), and advanced named entity recognition (NER) for PDFs. These enhancements strengthen Snorkel Flow’s ability to support the entire AI data development lifecycle, making it easier for enterprises to work with unstructured, proprietary data and deliver AI solutions faster.
These updates aim to improve user experience, foster collaboration between subject matter experts and data scientists, and integrate more deeply with leading AI development platforms like Databricks and Amazon SageMaker. By addressing the complex challenges of AI adoption in enterprises, Snorkel AI’s latest advancements help accelerate the delivery of high-quality, specialized AI models.
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