Daily Dose of DS offers a daily dose of inspiration, education, and motivation for data scientists and aspiring data professionals. Through bite-sized articles, tutorials, and curated resources, readers embark on a journey to master the art and science of data analysis, machine learning, and artificial intelligence. By staying updated with the latest trends, techniques, and tools in data science, readers can hone their skills and stay ahead in this rapidly evolving field.

Daily Dose of Data Science | Avi Chawla | Substack

Part 4 of an LLMOps course covers decoding strategies, generation parameters, and the lifecycle of LLM-based applications with hands-on code demos. The course addresses production challenges like cost management, handling hallucinations, optimizing latency, and building evaluation systems. Unlike traditional MLOps focused on training models, LLMOps deals with configuring, prompting, and orchestrating models in production environments.

Decoding, Generation Parameters, and the LLM Application Lifecycle