Credential-stealing emails are getting past artificial intelligence's "known good" email security controls by cloaking malicious payloads within seemingly benign emails. The tactic poses a significant threat to enterprise networks.
How to use Burr, an open source framework using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them.
However it is interesting that LSTM can achieve good performance
with word vectors based on a small corpus even though it scored terrible in the semantic and syntactic analysis.
LSTM does perform better than the other classifiers, but it does require more data. If NLP tasks are to be solved in other domains that do not generate enough data for a LSTM to work properly it would be advisable to train a SVM using AvgWV. LSTM is more adaptable but knowing how to optimise the network does require domain knowledge and experience with gradient-decent classifiers.
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