The AI in Business Podcast
Essentials of Deploying Large Language Models in the Enterprise - with Anton Kornienko and Ben Webster of NLP Logix
Mar 20, 2024
Anton and Ben from NLP Logix discuss how to turn large language models into business value. They debunk misconceptions, highlight the role of data curation and balance, and stress the importance of human oversight for accuracy in generative AI.
19:35
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Quick takeaways
- Large language models struggle with handling numbers, traditional AI performs better in tasks like weather prediction.
- Efficient document processing is crucial to prevent data inaccuracies in generative AI models; leaders should ensure clean data sources for relevance.
Deep dives
Dispelling Myths About Generative AI
Anton and Ben emphasize that generative AI, particularly large language models (LLMs), are not adept at handling numbers and traditional AI performs better in tasks like weather prediction. They highlight that LLMs do not replace existing AI solutions, and organizations must be diligent in processing documents to avoid unclean data that can lead to inaccuracies in AI models.
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