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Building the Fine-Tuning Pipeline for Alignment of LLMs 🏗️ | Nebius AI

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In this session, Maksim Nekrashevich, ML & LLM Engineer from Nebius AI discussed the key aspects of aligning LLMs and explored how to set up the necessary infrastructure to maintain a versatile alignment pipeline.
Topics that will be covered:
✅ Incorporating LLMs into the data collection for supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to maximize efficiency.
✅ Techniques for instilling desired behaviors in LLMs through the strategic use of prompt tuning.
✅ An exploration of cutting-edge workflow management and how it facilitates rapid prototyping of highly-intensive distributed training procedures.
About LLMOps Space -
LLMOps.Space is a global community for LLM practitioners. 💡📚
The community focuses on content, discussions, and events related to deploying LLMs into production. 🚀
Topics that will be covered:
✅ Incorporating LLMs into the data collection for supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to maximize efficiency.
✅ Techniques for instilling desired behaviors in LLMs through the strategic use of prompt tuning.
✅ An exploration of cutting-edge workflow management and how it facilitates rapid prototyping of highly-intensive distributed training procedures.
About LLMOps Space -
LLMOps.Space is a global community for LLM practitioners. 💡📚
The community focuses on content, discussions, and events related to deploying LLMs into production. 🚀
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