Understanding Embedding Models and RAG in AI Applications

This chapter delves into embedding models and their distinctions from traditional OpenAI models. It highlights the workings of retrieval-augmented generation (RAG), showcasing how this method enhances information retrieval through vector representations of text data.

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What does it take to secure AI-based applications in the cloud? In this episode, host Ashish Rajan sits down with Bar-el Tayouri, Head of Mend AI at Mend.io, to dive deep into the evolving world of AI security. From uncovering the hidden dangers of shadow AI to understanding the layers of an AI Bill of Materials (AIBOM), Bar-el breaks down the complexities of securing AI-driven systems. Learn about the risks of malicious models, the importance of red teaming, and how to balance innovation with security in a dynamic AI landscape.