Do you like DAGs? Implementing a Graph Executor for Bacalhau
Enrico Rotundo presents some of his latest work designing and implementing a directed acyclic graph (DAG) executor for Bacalhau, a decentralised compute platform.
Enrico Rotundo
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2 minArticles in this topic
Page 3 of 5
Enrico Rotundo
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2 min
RL Presentation: How to Overcome Reinforcement Learning Challenges
This is the second presentation discussing some of the greatest challenges for a reinforcement learning project. Learn what they are and how to overcome them.
Dr. Phil Winder
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1 min
RL Presentation: Finding and Executing Reinforcement Learning Projects
In this presentation, I present ReFrame, a horrible name for a process that helps us find and execute reinforcement learning projects for our clients. Learn what makes an RL problem, how to derisk development, and what you should work on first.
Dr. Phil Winder
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1 min
Buildpacks - The Ultimate Machine Learning Container
Buildpacks enable MLOps platform teams to reduce the maintenance burden of shared containers. Learn how Winder.AI helped Lightning AI develop Buildpacks for their service.
Enrico Rotundo
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14 min
MLOps Presentation: When do You Need an MLOps Platform Team?
Dr. Phil Winder presents industry observations of MLOps team size and structure for a range of business sizes and domains.
Dr. Phil Winder
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1 min
MLOps Presentation: Databricks vs. Pachyderm
This talk discusses presents our comparison of two leaders in the engineering space -- Databricks and Pachyderm.
Dr. Phil Winder
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1 min
Machine Learning Presentation: Packaging Your Models
This talk discusses common ways to package your machine learning models. Learn about best practice and the current state-of-the-art.
Dr. Phil Winder
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1 min
Machine Learning Presentation: Provenance and Lineage for Data, Pipelines, and Deployments
Learn the difference between lineage and provenance. Discover the different strengths of lineage. Find out how you can decompose your AI projects to make your machine learning models more repeatable, understandable, and robust.
Dr. Phil Winder
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1 min
Reinforcement Learning Presentation: Cyber Security
A talk about the use of RL in cyber security including a case study about how Winder.AI helped an internal security team develop a tool to hack web application firewalls.
Dr. Phil Winder
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1 min
MLOps Presentation: How to Build Resilient AI With GitOps
Learn how GitOps for AI is a key ingredient in any ML platform to enhance resiliency and observability.
Dr. Phil Winder
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1 minNewsletter
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Case studies and industry analysis from our team. No hype, roughly monthly.