Description for Mastering Gen AI: Advanced Fine-Tuning for LLMs
Instruction Tuning and Reward Modeling: Acquire knowledge in instruction tuning and reward modeling with Hugging Face for the optimization of large language models.
Reinforcement Learning with Human Feedback (RLHF): Utilize large language models (LLMs) as policies in conjunction with reinforcement learning and human feedback.
Direct Preference Optimization (DPO): Employ DPO in conjunction with partition functions and Hugging Face to achieve optimal solutions.
Proximal Policy Optimization (PPO): Use Hugging Face for scoring functions and dataset tokenization.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by IBM
Duration: 2-4 hours per week 2 weeks (approximately)
Schedule: Flexible
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