Data Exchange Podcast (Episode 196): Daniel Lenton of Ivy

Daniel Lenton is the CEO of Ivy, a suite of tools designed to accelerate AI Model Development and Model Deployment. Ivy serves as a glue that connects various frameworks and compiler infrastructures, making them compatible.
**Sections** ↓
Deployment related challenges facing AI teams - 00:01:05
How are teams currently addresssing these deployment challenges? - 00:04:17
What are the benefits of using Ivy to deploy AI (and Generative AI) models? - 00:08:00
Workflow for using Ivy for deployment - 00:10:40
Knobs and parameters Ivy makes available to AI teams needing to optimize models for deployment. - 00:13:08
Ivy and fine-tuning foundation models - 00:18:17
Early observations from teams who are using Ivy for deployment. - 00:21:49
Challenges facing team who are building and developing AI models. - 00:26:20
How does Ivy solve the fragmentation and lack of standardization in AI Model development? - 00:31:00
Status of Ivy’s transpiler - 00:34:12
Ivy’s model development tools – feedback from early users. - 00:35:49
Benchmarking and accelerating a group of models on Hugging Face - 00:38:46
Contributing and following the Ivy open source projects. - 00:40:08