Powering Secure and Reliable GenAI – From RAGs to Agentic Applications

We're living in the age of GenAI - breakthroughs that carry the potential to transform all applications and verticals around us. However, to achieve these goals, we need to solve one big problem, that of AI Quality. Even today, most AI applications hallucinate 20% of the time. And that is not all. Developers have to worry about Bias, PII Leakage, Prompt Injections, Red Teaming, and multiple other issues. Some prominent examples of failures include Air Canada’s chatbot misleading customers about refunds, Toxic and Biased responses from Microsoft’s Copilot, and Internal data leaks at Samsung. In this talk, we will talk about state-of-the-art technology that practitioners can use to mitigate such issues. This spans synthetic data generation, automated evals, real time guardrails and fine-tuning. We will also showcase real world examples of how to build safe, secure and reliable AI applications - from RAGs to Multi-Agentic Applications like DevinAI. Lastly, we will touch on how RagaAI Catalyst is helping data scientists extract the best of GenAI globally and the exciting research powering the platform.