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Tuhin, an expert in model deployment and monitoring at any scale, joins the show to discuss self-hosting open access models. They explore trends in tooling and usage of open access models, common use cases for integrating self-hosted models, and how the boom in generative AI has influenced the ecosystem.
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Quick takeaways
- Base 10 offers a platform that simplifies model deployment with workflow management features.
- Base 10 focuses on scalability, data privacy, and multi-cloud deployment to meet diverse user needs.
Deep dives
Base 10: Building Infrastructure for ML
Base 10 is a company that focuses on hosting machine learning models in a production-ready and scalable manner. They provide a platform that abstracts away the infrastructure complexities of running models, allowing engineers and data scientists to focus on their core work. Base 10 offers an open-source library called Trust, which enables users to easily package their models and deploy them with just a few lines of code. The platform also provides workflow management features, such as versioning, A/B testing, observability, and logging, making it easier for teams to iterate and manage their models in production.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode