sinanuozdemir/oreilly-llm-rl-alignment
This training offers an intensive exploration into the frontier of reinforcement learning techniques with large language models (LLMs). We will explore advanced topics such as Reinforcement Learning with Human Feedback (RLHF), Reinforcement Learning from AI Feedback (RLAIF), Reasoning LLMs, and demonstrate practical applications such as fine-tuning
This training helps AI developers and researchers refine large language models (LLMs) to ensure they produce desired outputs and adhere to ethical standards. It provides hands-on methods to transform raw LLM capabilities into models that are aligned with specific goals, using techniques like human or AI feedback and 'constitutional' rules. The target audience includes machine learning engineers, AI product developers, and research scientists working with LLMs.
Use this if you need to fine-tune your LLMs to be more reliable, safer, and aligned with particular guidelines or user preferences.
Not ideal if you are looking for an introductory course to machine learning or general LLM usage rather than specialized alignment techniques.
Stars
59
Forks
34
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/sinanuozdemir/oreilly-llm-rl-alignment"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
agentscope-ai/Trinity-RFT
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement...
OpenRLHF/OpenRLHF
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO &...
zjunlp/EasyEdit
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
huggingface/alignment-handbook
Robust recipes to align language models with human and AI preferences
hyunwoongko/nanoRLHF
nanoRLHF: from-scratch journey into how LLMs and RLHF really work.