In this episode, we dive deep into the world of open source AI with Victor Miller from LLM360. Learn why open source data is crucial for training better AI models (and how it's shaping the future of robotics). Victor shares insights on TXT360 (a 15 trillion token dataset) and explains why data quality matters more than ever in AI development.Key topics covered:- Why open source matters in AI development- The relationship between data quality and model performance- The future of robotics as an AI application layer- How to get started building with open source AI- Practical advice for newcomers to AI developmentVictor also discusses recent developments in open source models, including DeepSeek, Sky T1, and S1, and shares his perspective on the future of AI applications in robotics and beyond.Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy02:22 - What makes a good LLM training dataset 06:00 - The importance of open source in AI development 14:12 - MetaGene model for virus detection and public health 24:24 - Challenges and future of home roboticsTool Use is a weekly conversation about helpful AI tools you can use today, brought to you by Anetic.
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