DataFramed #275 Did Gen AI Kill NLP? with Meri Nova, Technical Founder at Break into Data
Jan 16, 2025
Meri Nova, Founder of Break Into Data and an experienced AI engineer, dives into the evolution of natural language processing (NLP) and the transformative impact of generative AI. She examines when to apply traditional NLP techniques versus modern models, highlighting the balance between creativity and cost. The discussion includes the role of vector stores in handling unstructured data and the changing landscape of AI engineering. Meri also shares insights on harnessing AI for creativity and enhancing decision-making, particularly for those with ADHD.
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NLP Definition and Scope
- Natural language processing (NLP) helps computers understand, interpret, and generate human language.
- It encompasses various tasks like parsing text, understanding semantics, and generating text.
Business Applications of NLP
- Businesses can leverage NLP for practical applications like website chatbots and content moderation.
- Document processing and information retrieval are other valuable business uses of NLP.
Generative AI's Impact on NLP
- Generative AI revolutionized NLP by enabling large-scale text generation.
- Traditional NLP focused on parsing and classification, while generative AI allows for more creative applications.
