Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations
The Data Exchange with Ben Lorica
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The Evolving Landscape of Large Language Models
This chapter examines the varying options for large language models, balancing between open-source and proprietary solutions. It discusses the implications of concentrated resources in the field, the declining costs of training, and the significance of fostering open-source projects.
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