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docs/class2/_static/class2-1.png

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docs/class3/class3.rst

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@@ -142,6 +142,13 @@ Create an Nginx ingress resource to **expose FlowiseAI/Langchain service** exter
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Confirm that you can login and access to LLM orchestrator (flowise)
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Input the following URL on a new browser tab
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.. code-block:: bash
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https://llm-orch-dev.ai.local
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.. attention::
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You will asked to register. This username and password will be use to login in future. Use the following suggested credential
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docs/class4/class4.rst

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Leverage leetspeak encoding to bypass model safeguards
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.. Note::
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**Leetspeak encoding** (often written as “leet speak” or “l33t sp34k”) is a style of text obfuscation where letters are intentionally replaced with visually similar numbers, symbols, or letter combinations. It originated from early hacker and gaming communities as a way to bypass filters, show skill, or just be playful.
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**Leetspeak encoding** (often written as “leet speak” or “l33t sp34k”) is a style of text obfuscation where letters are intentionally replaced with visually similar numbers, symbols, or letter combinations. It originated from early hacker and gaming communities as a way to bypass filters, show skill, or just be playful. Its a common bypass or obfuscation technique use to reveal weaknesses of content moderation.
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.. image:: ./_static/class4-harmful-4.png
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.. Note::
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AI response is non-deterministric. You may need to try multiple times to get the desired response.
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As demonstrated, our GenAI RAG agent chatbot is currently **vulnerable** to information leakage and susceptible to prompt-injection attacks, which also results in **violations of core AI safety principles**.
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