Shreya Rajpal on Guardrails for Large Language Models

Live from the venue of the QCon San Francisco Conference, we are talking with Shreya Rajpal, CEO and Cofounder of Guardrails AI. In this podcast, Shreya shares her insights on building guardrails for large language model (LLM) applications. Rajpal discusses how Guardrails AI assesses the reliability and safety of LLM applications, ensuring any input sent to the model is functionally correct and providing a framework for developers to create their own custom validators.
Read a transcript of this interview: www.bit.ly/47tQUBc
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[@iAkashPaul]

For other watchers, few more points to look out for- Users asking to do a valid task but in a different context. Ex. Write me a python code for doing X valid task Users asking compound questions. ___ Attempting to constrain the output vocabulary & limiting user input size are ways to reduce the surface of attacks. Query decomposition & then matching it with existing or safe constructs could also be another solution