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Ep 32: CEO and Founder of Pinecone Edo Liberty on Pioneering Vector Databases, Barriers to Productionalizing Models and Why What’s Happening with GPUs is Not Sustainable

Unsupervised Learning

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Efficient Scaling in Model Development

The chapter delves into the trade-offs involved in choosing between smaller and larger models, emphasizing the importance of finding a balanced approach for cost-effective and environmentally friendly solutions. It also explores challenges related to utilizing large context windows in language models and discusses efficiency gains in using vector databases for large-scale data processing.

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