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Deepseek - Open Source Revolution in AI Models - (AI Lover podcast)

Writer's picture: TensorOpsTensorOps

AI Lover Episode #7

The conversation explores the emergence of DeepSeek as a significant player in the AI landscape, particularly in the context of open-source models and the competitive dynamics with established companies like OpenAI and NVIDIA.











Key topics include:

00:00 Emergence of New AI Players

04:37 The Hardware Landscape and NVIDIA's Dominance

08:56 Innovation vs. Copying: The Chinese AI Landscape

13:38 Reducing AI project costs with diverse open-source LLMs

21:39 OpenAI's Shift: From LLMs to Product Focus

26:07 User Experience and Future of AI Assistants

35:00 Regional Perspectives on AI Development

36:53 The Global AI Race: Competition and Innovation

38:29 Emerging Players in the AI Landscape

40:21 Ethics and Fairness in AI Training


The discussion delves into the implications of open-source strategies, the challenges faced by NVIDIA, and the innovation landscape in China.

Miguel Neves, Clara Gadelho and Gabriel Gonçalves address the ethical considerations surrounding AI training, the user experience of AI products, and the future of personal assistants in AI.

Overall, the dialogue highlights the evolving nature of AI technology and the importance of adaptability in a rapidly changing market.

Chapters



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