Episode description
Episode description
Learn along side Bhavin and Ryan as they dig into some of basics of Artificial Intelligence, Machine Learning and Deep Learning. They explore what terms mean, what the basic differences are and take an introductory look at how companies approaches to building and using models for various use cases.
News
- https://aws.amazon.com/blogs/aws/amazon-eks-pod-identity-simplifies-iam-permissions-for-applications-on-amazon-eks-clusters/
- https://aws.amazon.com/blogs/aws/use-aws-fault-injection-service-to-demonstrate-multi-region-and-multi-az-application-resilience/
Show Links
- Vector DB Talk DoK https://www.youtube.com/watch?v=uxoqMgFKAlM
- https://www.kubeflow.org/docs/components/pipelines/v1/introduction/
- https://weaviate.io/blog/what-is-a-vector-database
- https://huggingface.co/
- https://docs.ray.io/en/latest/ray-overview/getting-started.html
- https://kueue.sigs.k8s.io/docs/overview/
- https://www.datastax.com/guides/what-is-a-vector-index
- https://www.datastax.com/guides/what-is-vector-search
- https://medium.com/building-the-open-data-stack/whats-a-vector-database-c3e8b6bb0436
- https://www.pinecone.io/blog/aws-reference-architecture/