Episode 21: Deploying LLMs in Production: Lessons Learned
Vanishing Gradients
Delivering Value through Data Science and ML
Recognizing the importance of delivering value, it is crucial to understand how data science and machine learning (ML) can be utilized effectively in different industries. In a practical example, optimizing marketing strategies for a casino involved analyzing data, understanding the business context, and designing workflows. This process highlighted the critical connection between data analysis, business objectives, and design. When working with clients, it is essential to consider their technology stack, product vision, and resources to tailor solutions that drive success. While the temptation may be to jump straight to fine-tuning open source models, it is vital to first establish a solid foundation by creating a working solution, gathering data, implementing an evaluation system, and setting up a usable pipeline, before eventually considering open source models as needed.
Remember Everything You Learn from Podcasts
