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Donato Capitella, an expert in threat modeling AI applications at WithSecure, joins the talk to shed light on critical topics in AI security. He discusses the challenges of prompt injection attacks and the importance of validating outputs from large language models (LLMs). The conversation dives into aligning language models for reliable outputs and the evolving landscape of cybersecurity for generative AI. Donato emphasizes the significance of context-sensitive alerts and the need for a structured approach to safeguarding LLM applications against unique vulnerabilities.
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Quick takeaways
- The podcast emphasizes the need for effective security measures in implementing large language models to mitigate risks associated with user input and output validation.
- Donato discusses his practical experience with threat modeling AI applications, highlighting the importance of proactive monitoring and alignment in ensuring ongoing safety.
Deep dives
Advancements in Speech AI Models
Assembly AI is making significant strides in developing advanced speech AI models that enable the transformation of voice data into actionable insights. These models facilitate tasks such as speech-to-text, speaker identification, and content summarization, which are essential for developers looking to harness voice data effectively. With features like entity recognition and personal identifiable information maskings, developers can extract critical information from voice recordings and streamline their applications efficiently. The user-friendly API provided by Assembly AI allows for easy integration into various applications, promoting innovation and productivity in the tech landscape.
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