LLM Alignment: Techniques for Building Human-Aligned AI

Imagine a world where AI not only interprets our words but also mirrors our ethical principles and values. This vision is becoming a reality through advanced alignment methodologies and AI techniques.
Join Hoang Tran, Senior Research Scientist at Snorkel AI, for an exclusive webinar where he will explore the evolution of LLMs from their early stages to their current sophisticated forms. Discover how strategies like Reinforcement Learning from Human Feedback (RLHF), Instruction Fine-Tuning (IFT), and Direct Preference Optimization (DPO) are transforming AI, making it safer and more reliable.
Key Takeaways:
🔹Understand the progression from early models to advanced LLMs
🔹Learn how RLHF is crucial for aligning AI with human values
🔹Explore IFT and DPO as effective methods to refine LLM responses
🔹Discuss ongoing issues and ethical implications in AI alignment