AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
Published:Feb 14, 2023 12:00
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode discussing the intersection of causal modeling and large language models (LLMs). It highlights the importance of causality in AI, particularly in areas like causal discovery and representation learning. The conversation with Robert Osazuwa Ness, a Microsoft Research senior researcher, explores the potential impact of causality on LLMs, using examples like Bing Search and ChatGPT. The article also touches upon benchmarks, use cases, and opportunities within the field of causal modeling, suggesting a focus on improving the reasoning and understanding capabilities of AI systems.
Key Takeaways
Reference
“The article doesn't contain a direct quote, but it discusses the conversation with Robert Osazuwa Ness.”