Revolutionizing Marketing Analytics With Accelerated Insights Using Code Generation LLMs

The rapid advancement of generative AI has sparked innovation across diverse fields, but concerns about data security and privacy pose challenges in developing secure inference solutions. Businesses struggle with quick data analysis, relying on manual SQL queries and Excel-based approaches that delay insights.

This session explores a gen AI solution that addresses these challenges. This platform-agnostic solution integrates NVIDIA NIM inference microservices for secure, optimized inferencing and uses open-source LLMs for code generation. It streamlines post-analysis tasks by understanding natural language, making data retrieval from various databases more accessible. Unlike conventional language models, this solution offers customization options, flexible deployment, and enhanced performance. We'll cover technical details of prompt engineering, deployment, and usage of high-performance NVIDIA GPUs like L40S and A100.