Generative AI NLP Specialization | Level 3

Dive Deeper into LLMs and it’s fine tuning techniques

Duration

3 Days

Level

Intermediate Level

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Welcome to “Generative AI NLP Specialization | Level 3”, an advanced course that will immerse you in the fascinating world of fine-tuning Large Language Models (LLMs) and harnessing them for real-world applications. This comprehensive journey will equip you with the knowledge and skills needed to fine-tune LLMs effectively and align them with human values. Through a structured exploration of topics and practical exercises, you’ll delve into the nuances of reinforcement learning, parameter-efficient fine-tuning, and the evaluation of fine-tuned models.

By the end of this course, you will be able to gain a deep understanding of the intricacies of fine-tuning Large Language Models, including instruction fine-tuning, parameter-efficient fine-tuning, and techniques like LoRA and Soft Prompts.

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Deepdive into Fine-tuning LLMs

Introduction to Large Language Models
Pre-training Large Language Models
Computational Challenges in Training LLMs
Scaling Laws and Compute-Optimal Models
Fine-tuning Techniques
- Instruction Fine-tuning
- Fine-tuning on a Single Task
- Multi-task Instruction Fine-tuning
- Parameter Efficient Fine-tuning (PEFT)
- PEFT Techniques: LoRA and Soft Prompts

Model Evaluation and Benchmarks
- Evaluating Fine-tuned Models
- Introduction to Benchmarks

Reinforcement Learning and LLM-powered Applications

Introduction
Overview of Fine-tuning Large Language Models
Importance of Aligning Models with Human Values
Reinforcement Learning from Human Feedback (RLHF)
- Introduction to RLHF
- Obtaining Feedback from Humans
- Developing a Reward Model for RLHF

Fine-tuning with Reinforcement Learning
- Fine-tuning Process using RLHF
- Techniques for Optimizing RLHF Performance
- Optional Video: Proximal Policy Optimization
- Addressing Reward Hacking
Scaling Human Feedback
- Challenges and Considerations
- Strategies for Collecting and Incorporating Large-scale Feedback
- Evaluation and Assessment
- Methods for Evaluating Fine-tuned Language Models
- Assessing Model Performance in Alignment with Human Values
Lab: Transforming Human Interactions with AI ( RLHF)

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Generative AI NLP Specialization | Level 3

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