The Power of Semantics in Search Engines

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New research has uncovered some new LLM attacks on the block which aren't exactly that. Large language models like chat GPT, bard, or clawed undergo extensive fine-tuning to not produce harmful content in their questions. Although several studies have demonstrated so-called jail breaks, these require a substantial amount of manual effort to design and can often easily be patched by LLM providers. This work studies the safety of such models in a more systematic fashion. We demonstrate that it is in fact possible to automatically construct adversarial attacks on LLM's,. specifically chosen sequences of characters that will cause the system to obey user commands even if it produces harmful content.

There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expanding set of vector database offerings. After introducing vector database and giving us a mental model of how they fit in with other datastores, Prashanth digs into the trade offs as related to indices, hosting options, embedding vs. query optimization, and more.

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