Today's LLMs are susceptible to prompt injections, jailbreaks, and other attacks that allow adversaries to overwrite a model's original instructions with their own malicious prompts.
We’ve had ChatGPT for 18 months, but what’s it for? What are the use-cases? Why isn’t it useful for everyone, right now? Do Large Language Models become universal tools that can do ‘any’ task, or do we wrap them in single-purpose apps, and build thousands of new companies around that?
We welcome Didi who present the story of their PB level Observability use case in ClickHouse and how they migrated their legacy Elasticsearch logging and trace solution, saving over 30% in hardware costs and speeding up queries almost 4x.