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In this episode of the Unsupervised Learning podcast, host Renee speaks with AI pioneer and OpenRouter founder, Alex Attala, about using machine learning models in a cost-effective way.
They go into ways to reduce LLM costs, leveraging different models based on cost and stability. The conversation also covers the functionality of OpenRouter, which allows users to access multiple language models from one place. Alex discusses his hopes for decentralization and greater user control, which can be seen in his project, Window AI.
Stay tuned for the next episode featuring Rajiv Shah, a veteran in AI and data science.
Links mentioned-
Where to find Alex
https://twitter.com/xanderatallah
https://www.linkedin.com/in/alexatallah
LLM video by AI Jason- https://www.youtube.com/watch?v=lHxl5SchjPA&t=853s
Unsupervised Learning-
Got a question?- [email protected]
0:00 Ep 2- LLM cost reduction
01:51 Alex Attala and His Contributions to Open Source AI
01:57 Understanding Open Router and Its Benefits
04:29 Exploring Window AI and Its Potential
05:50 The Birth of OpenRouter and Its Impact
06:14 The Future of Decentralization and AI
07:00 Making AI Models More Accessible
08:10 The Importance of Incentives in AI Protocols
08:32 The Evolution of GPUs and AI Models
09:32 Conclusion: The Power of Good Data
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