Building the Fine-Tuning Pipeline for Alignment of LLMs

Explore the key aspects of aligning Large Language Models (LLMs) and learn how to set up a versatile alignment pipeline in this 45-minute session presented by Maksim Nekrashevich, ML & LLM Engineer from Nebius AI. Discover techniques for incorporating LLMs into data collection for supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to maximize efficiency. Gain insights into instilling desired behaviors in LLMs through strategic prompt tuning. Delve into cutting-edge workflow management that facilitates rapid prototyping of highly-intensive distributed training procedures. This talk, organized by LLMOps Space, a global community for LLM practitioners focusing on deploying LLMs into production, provides valuable knowledge for those interested in the practical aspects of LLM alignment and fine-tuning.