Open Source, Agents, and Specialization: What's Next in AI?
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107 дней – 184 7851:59Опубликовано 8 декабря 2025, 21:22
The biggest opportunity in AI today is using open-source models to build specialized tools that solve real problems.
Konstantine Buhler, Partner at Sequoia Capital, and Kari Briski, Vice President of Generative AI software at NVIDIA, discuss:
- Moving from “one big model” thinking to specialized agents, open-source foundations, and human-in-the-loop workflows.
- What the most productive workers will be doing in five years (hint: it's not coding).
- Why memory, communication, and security are the three big unlocks for agents.
See how teams are already turning open models into domain-specific AI agents that boost accuracy, speed, and ROI: nvda.ws/4ob0RMn
Konstantine Buhler, Partner at Sequoia Capital, and Kari Briski, Vice President of Generative AI software at NVIDIA, discuss:
- Moving from “one big model” thinking to specialized agents, open-source foundations, and human-in-the-loop workflows.
- What the most productive workers will be doing in five years (hint: it's not coding).
- Why memory, communication, and security are the three big unlocks for agents.
See how teams are already turning open models into domain-specific AI agents that boost accuracy, speed, and ROI: nvda.ws/4ob0RMn
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