Future Architectures
Patrick and Matei discuss the potential shift towards traditional search indexes encoding knowledge for generative responses. Matei highlights the power of language models in generating complex answers and examples, especially in teaching programming and making products more accessible. The conversation delves into the balance between human intervention and automated code generation using language models.In this clip
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Unsupervised Learning
Ep 2: Databricks CTO Matei Zaharia on scaling and orchestrating large language models
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