Generative Artificial Intelligence — Reinforcement Learning and LLM-Powered Applications | Computer Science Online Tutorial
Generative Artificial Intelligence
A self-paced online tutorial session on reinforcement learning and llm-powered applications, part of the Generative Artificial Intelligence track. Work through the topics below, then reach out any time if you'd like a live walkthrough.
What this tutorial covers
- 01Aligning Models with Human Values
- 02Reinforcement Learning from Human Feedback (RLHF)
- 03Obtaining Human Feedback
- 04Reward Modeling
- 05Fine-tuning with Reinforcement Learning
- 06Model Optimizations for Deployment
- 07Generative AI Project Lifecycle
- 08Using LLMs in Applications
- 09Interacting with External Applications
- 10Enhancing Reasoning with Chain-of- Thought
- 11Program-Aided Language Models (PAL)
- 12ReAct: Combining Reasoning and Action
- 13LLM Application Architectures
How to use this session
Read through each topic in order — they build on one another. Keep a notes document open and try to restate each concept in your own words before moving to the next one; that single habit does more for retention than re-reading ever will.
If any topic above needs a deeper explanation, a worked example, or a live session with an instructor, get in touch using the details below and we'll set up a time that works for you.
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