LLMOps

In this course, you’ll go through the LLMOps pipeline of pre-processing training data for supervised instruction tuning, and adapt a supervised tuning pipeline to train and deploy a custom LLM. This is useful in creating an LLM workflow for your specific application. For example, creating a question-answer chatbot tailored to answer Python coding questions, which you’ll do in this course. Through the course, you’ll go through key steps of creating the LLMOps pipeline: 1. Retrieve and transform training data for supervised fine-tuning of an LLM. 2. Version your data and tuned models to track…