In this podcast, Lin Qiao, the co-founder and CEO of Fireworks, discusses the company's innovative generative AI inference platform and the future of AI infrastructure. Fireworks aims to enhance the speed and efficiency of inference for composite AI systems, tackling the challenges associated with relying on single-model solutions. The conversation explores the growing open-source ecosystem, the necessity for declarative tools to develop complex AI systems, and the significance of fine-tuning and prompt engineering for customization. Lin also addresses the current challenges and opportunities within the AI landscape, including the emergence of smaller expert models and the critical need for strong evaluation methods. Additionally, she shares her perspectives on the state of generative AI applications, the future of model pre-training, and the changing role of hardware in supporting AI infrastructure.
