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 Alexhttps://twitter.com/xanderatallahhttps://www.linkedin.com/in/alexatallahhttps://openrouter.ai/LLM video by AI Jason- https://www.youtube.com/watch?v=lHxl5SchjPA&t=853sUnsupervised Learning- WebsiteLinkedinDonateGot a question?- [email protected]