Trends in NLP with John Bohannon - #550
Published:Jan 6, 2022 18:07
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode discussing trends in Natural Language Processing (NLP) with John Bohannon, the director of science at Primer AI. The conversation highlights two key takeaways from 2021: the shift from groundbreaking advancements to incremental improvements in NLP, and the increasing dominance of NLP within the broader field of machine learning. The episode further explores the implications of these trends, including notable research papers, emerging startups, successes, and failures. Finally, it anticipates future developments in NLP, such as multilingual applications, the utilization of large language models like GPT-3, and the ethical considerations associated with these advancements.
Key Takeaways
- •NLP is moving from major breakthroughs to incremental improvements.
- •NLP is becoming increasingly integrated with other areas of machine learning.
- •Ethical considerations are becoming more important in NLP development.
Reference
“NLP as we know it has changed, and we’re back into the incremental phase of the science, and NLP is “eating” the rest of machine learning.”