

Trends in NLP with John Bohannon - #550
Jan 6, 2022
Join John Bohannon, Director of Science at Primer AI, as he dives into the evolving landscape of NLP. He shares key insights on how NLP has shifted from rapid innovation to a more incremental phase and is now ‘eating’ the rest of machine learning. The discussion also covers groundbreaking advancements like multilingual models, the integration of NLP with computer vision, and the ethical implications of large language models. Explore challenges in benchmarking and innovative future applications in context management and gaming.
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NLP's Shift to Incrementalism
- NLP is shifting from revolutionary breakthroughs to incremental improvements.
- It's becoming more about refining existing techniques rather than discovering new architectures.
NLP Eating ML
- NLP is merging with other ML fields, especially computer vision.
- This allows for tasks like semantic image search and generating images from text descriptions.
Glide's Innovation
- Glide uses a diffusion model instead of a classifier.
- This produces more photorealistic image generation and impressive in-painting capabilities.