Reinventing AI Agents with Imbue CEO Kanjun Qiu
Gradient Dissent: Conversations on AI
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Innovations in AI Model Development
This chapter examines the decision-making and strategies behind developing a proprietary 70 billion parameter AI model. It discusses the significance of data quality, mid-training optimization, and the challenges of training large models while fostering an open research community. The conversation also addresses emotional dynamics faced by entrepreneurs in fundraising, the nuances of evaluating AI research, and emphasizes empowering individuals with accessible AI tools.
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