The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Trends in Natural Language Processing with Sameer Singh - #445
Jan 7, 2021
Sameer Singh, Assistant Professor at UC Irvine and an expert in natural language processing, dives into the latest trends in NLP. He discusses the profound impact of GPT-3 and Transformer models on the field. The conversation highlights the complexities of evaluating language models and their practical vulnerabilities. Sameer brings attention to the limitations of current models in achieving true natural language understanding. Additionally, he shares insights on the intersection of language and vision models, shaping the future of NLP.
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GPT-3 Few-Shot Performance
- GPT-3's few-shot performance is noteworthy, allowing it to perform tasks like sentiment analysis without further training.
- Providing a few examples at the beginning of a document enables GPT-3 to generate correct labels.
AI Dungeon
- AI Dungeon uses GPT-2/3 to create dynamic text-based adventure games.
- Players' actions influence the story's progression through GPT-generated content.
Form vs. Meaning
- The "Climbing Towards NLU" paper argues that form alone is insufficient for understanding meaning in language.
- It uses the thought experiment of an octopus eavesdropping on a conversation to demonstrate the need for grounding beyond text.