Large Language Models are revolutionizing AI development. As companies strive to solve unique use cases, ML teams are facing the challenge of fine-tuning their models or using prompt engineering to elevate Foundation Models beyond their baseline accuracy on business-specific tasks.

The process of developing industry-ready models at scale requires an understanding of what training data to use, when to tune models, how to prompt them, and how to avoid errors and hallucinations. Join us for a compelling fireside chat with experts discussing how to get LLMs ready for industry in a way that works for your unique business problems. Get insights on the future of LLMs, the tooling landscape, and how to navigate the changes in this space.