There's nothing better than pre-trained, open-source models! You can use them to solve a variety of common problems, such as image classification, speech-to-text, or even text generation. But the problem is - they come in different formats and shapes. From native PyTorch and Tensorflow, Hugging face, or Torch lightning, it can take quite some time to set those up for inference, finetuning, or evaluation. In this episode, we hosted Patrick Barker from One Medical, who shared his unique solution to the problem, how they shaped it, and how this is all connected to Kubernetes. --- Join our Discord community - https://discord.gg/JcNRrJ5nqW Discord community - https://discord.gg/JcNRrJ5nqW Twitter - https://twitter.com/ai_infra_live Linkedin - https://linkedin.com/company/ai-infra-stories/ Almog - https://www.linkedin.com/in/almogbaku/ Amit - https://www.linkedin.com/in/amitbendor/ Patrick Linkedin - https://www.linkedin.com/in/patrickbarkerco/

Deploying a model is not the end of the story. Most of the time, it's only the beginning of a new one. Model tracking, data drift, inference performance, and many more challenges are hiding in the journey of rolling a model for users. In this episode, we hosted Simarpal Khira from Intuit, who shared with us Intuit's story of building their internal Monitoring Platform with us. We learned about their challenge, why they decided to build something, and how people use it internally. --- Join our Discord community - https://discord.gg/JcNRrJ5nqW Simarpal Linkedin - https://www.linkedin.com/in/simarpal-khaira-6318959/ Discord community - https://discord.gg/JcNRrJ5nqW Twitter - https://twitter.com/ai_infra_live Linkedin - https://linkedin.com/company/ai-infra-stories/ Almog - https://www.linkedin.com/in/almogbaku/ Amit - https://www.linkedin.com/in/amitbendor/