Equity Found: Getting realistic about AI’s potential with Nick Frosst from Cohere
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Aug 14, 2024 
Nick Frosst, Co-founder of Cohere, dives into the booming enterprise AI sector, shedding light on the true potential of AI without the bubble fears. He discusses the evolution of language models and their practical applications in business, emphasizing multilingual capabilities. Frosst also tackles the challenges of regulatory frameworks in North America and how they impact AI growth. The conversation intrigues with insights on the delicate balance between innovation and sustainability in technology.
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Early AI Interest
- Nick Frosst's interest in AI began during his undergrad at the University of Toronto, sparked by Jeff Hinton's work on neural networks.
- In 2013, he felt he had "missed the boat" on neural networks, highlighting the rapid evolution of the field.
General-Purpose vs. Specialized Models
- Cohere was founded on the realization that general-purpose language models trained on vast amounts of data would outperform specialized models.
- This approach, driven by co-founder Aiden Gomez, marked a paradigm shift in machine learning.
Language Models as Statistical Models
- While linguistic understanding is helpful, language models are primarily statistical models of sequences.
- They learn patterns and predict the next word without explicit grammatical knowledge.