Explore key strategies for minimizing hallucinations in AI conversational systems through this 15-minute conference talk from Conf42 Prompt 2024. Gain foundational knowledge about Large Language Models (LLMs) and the Transformer architecture before diving into essential ethical AI principles and challenges. Learn practical approaches for addressing AI bias and understand the mechanisms behind hallucinations and their mitigation. Master prompt engineering techniques that enhance the reliability and accuracy of AI responses. The presentation concludes with actionable takeaways for implementing these strategies in real-world applications.
Overview
Syllabus
Introduction and Agenda
Understanding Large Language Models LLMs
The Transformer Architecture
Ethical AI: Principles and Challenges
Addressing Bias in AI
Understanding and Mitigating Hallucinations
Prompt Engineering Techniques
Conclusion and Key Takeaways
Taught by
Conf42
