Breaking Down AI: Small Models, Big Impacts
Open at Intel - Un pódcast de open.intel - Jueves

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Joshua Alphonse discusses the potential of small language models, highlighting their efficiency and applicability in various domains such as financial compliance and multimedia processing. The conversation also touches upon the intersection of creativity and technology, AI's role in the future of multimedia, and the significance of open source models. Joshua emphasizes the importance of eliminating biases in AI and the exciting advancements in agentic AI and spatial AI, projecting how these innovations might shape the tech landscape in the coming years. 00:00 Introduction and Welcome 00:09 Joshua's Background and Experience 00:34 Current Projects and Innovations 03:04 The Importance of Small Language Models 06:14 Open Source and AI Ethics 10:13 Future of AI and Exciting Developments 12:20 Challenges and Controversies in AI 17:47 Conclusion and Final Thoughts Guest: Joshua Alphonse is Head of Product at PremAI. Joshua has spent his time empowering developers to create innovative solutions using cutting-edge open-source technologies. Previously, Joshua worked at Wix, leading Product and R&D engagements for their Developer Relations Team, and at Bytedance he successfully created content, tutorials, and curated events for the developer community.