Infrastructure Challenges
Connor discusses the complexities of building specialized infrastructure for machine learning, emphasizing the need for in-house solutions over existing tools. He highlights the ongoing challenges in prompt optimization and the importance of continuously fine-tuning models while collecting new data. The conversation reveals the significant investment in developing systems that enhance model proficiency and knowledge retrieval.In this clip
From this podcast
Unsupervised Learning
Ep 40: CEO of Speak.com Connor Zwick on How AI Will Change the Way we Learn
Related Questions
What problems do developers face when building AI applications as discussed in the episode Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167 and the clip AI and Product Integration?
What problems do developers face when building AI applications as discussed in the episode Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167 and the clip Timing and Pragmatism?