Cybersecurity Insights
Discover how intermediate ML models and large language models are used to tackle cybersecurity risks in messages. The discussion highlights the critical importance of avoiding false negatives while managing the peril of false positives, which can lead to a "boy who cried wolf" scenario. Additionally, learn about the innovative use of redis key-value stores and auto retraining frameworks for efficient model updates, alongside the challenges AI faces in addressing human-centric issues like urban planning and politics.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
717: Overcoming Adversaries with A.I. for Cybersecurity — with Dr. Dan Shiebler
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