Computer Vision Meetup: Who needs RLHF When You Have SFT?

This talk will center around Reinforcement Learning from Human Feedback, and more importantly, “Why” is it even needed over Supervised Fine-Tuning? We will also understand in easy terms some current open problems in RLHF as far as research in academia is concerned.

Speaker: Srishti Gureja is an ML engineer and researcher broadly interested in two things: ML efficiency techniques, including but not limited to designing algorithms that make maximum use of the hardware at hand, and the alignment in LLMs …

academia ai center computer computer vision computervision current datascience easy engineer feedback fine-tuning human human feedback machinelearning meetup ml engineer reinforcement reinforcement learning research rlhf sft speaker supervised fine-tuning talk terms vision will