Designing High-Quality Synthetic Data for Training & Fine-tuning LLMs

At this critical juncture in AI development, we face a scarcity of novel, high-quality data for training and fine-tuning large language models (LLMs). This shortage poses significant challenges for organizations aiming to enhance model performance or adapt them to specialized domains. In this hour-long livestream, Ali Golshan, CEO and co-founder of Gretel, will showcase the company's innovative solution to this bottleneck. Gretel Navigator, a compound, agent-based AI system, leverages multiple language models to generate high-quality synthetic data suitable for fine-tuning LLMs. Join us for an insightful interview, live demonstration, and interactive Q&A session exploring how Gretel's technology is addressing the growing demand for AI-ready data for model customization and performance improvement.