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ChatGPT from Scratch: How to Train an Enterprise AI Assistant

ChatGPT from Scratch: How to Train an Enterprise AI Assistant

Tue Nov 7, 2023, by Phil Winder, in ChatGPT, Talk, Generative AI

This is a video of a presentation investigating how large language models are built and how to use them, inspired by our large language model consulting work. First presented at GOTO Copenhagen in 2023, the video investigates the history, the technology, and the use of large language models. The demo at the end is borderline cringe, but it’s a fun and demonstrates how you would fine-tune a language model on your proprietary data.

Explain, Enhance and Enrich Your Data with Bacalhau Amplify

Explain, Enhance and Enrich Your Data with Bacalhau Amplify

Mon Jun 19, 2023, by Phil Winder, in Case Study, AI Product Development, Talk, Software Engineering

Bacalhau is a project started under Protocol Labs, but has now spun out into Expanso, Inc. Expanso is a leading Web3 innovator specializing in developing next generation decentralized commodity services. This case study, which includes a video presentation, describes the proceeds of this collaboration. The Bacalhau team asked Winder.AI to help them develop a new AI product designed to perform data engineering at web-scale, backed by Web3 technologies.

Presentation: MLOps and the Online Safety Bill

Presentation: MLOps and the Online Safety Bill

Tue Mar 21, 2023, by Phil Winder, in MLOps, Case Study, Talk

This is a video of a presentation about the UK’s online safety bill. This places new burdens on social media companies to moderate content to keep the public safe. This video discusses how platforms are using MLOps to help operate AI solutions that allow them to scale and prevent hundreds of violating posts from being published every second.

Do you like DAGs? Implementing a Graph Executor for Bacalhau

Do you like DAGs? Implementing a Graph Executor for Bacalhau

Tue Jan 24, 2023, by Enrico Rotundo, in MLOps, Software Engineering, Talk, Case Study

Winder.AI helped Protocol Labs, a technology company in the crypto space, to help develop Bacalhau, a novel decentralised computational platform that focuses on the AI lifecycle. This case study describes some of our work to develop this project but for more information view the Bacalhau website.

RL Presentation: How to Overcome Reinforcement Learning Challenges

RL Presentation: How to Overcome Reinforcement Learning Challenges

Wed Dec 14, 2022, by Phil Winder, in Reinforcement Learning, Talk

This presentation discusses some of the greatest challenges for a reinforcement learning project. I will share some of the challenges we have faced and how we have overcome them. You’ll learn what to look out for and how that affects the planning process.

RL Presentation: Finding and Executing Reinforcement Learning Projects

RL Presentation: Finding and Executing Reinforcement Learning Projects

Tue Nov 22, 2022, by Phil Winder, in Reinforcement Learning, Talk

Learn about the framework that we use to help organizations find and develop problems that are best suited to reinforcement learning. This includes information about how to find business problems that are suited to RL, how to derisk the development process, and what technical tasks are involved.

Buildpacks - The Ultimate Machine Learning Container

Buildpacks - The Ultimate Machine Learning Container

Thu Jul 14, 2022, by Enrico Rotundo, Phil Winder, in Case Study, Mlops, Cloud-Native, Talk

Winder.AI worked with Grid.AI (now Lightning.ai) to investigate how Buildpacks can minimize the number of base containers required to run a modern platform. A summary of this work includes: Researching Buildpack best practices and adapting to modern machine learning workloads Reduce user burden and reduce maintenance costs by developing Buildpacks ready for production use Reporting and training on how Buildpacks can be leveraged in the future The video below presents this work.

MLOps Presentation: When do You Need an MLOps Platform Team?

MLOps Presentation: When do You Need an MLOps Platform Team?

Wed May 11, 2022, by Phil Winder, in MLOps, Talk

Dr. Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. Abstract In this talk he presents industry observations of MLOps team size and structure for a range of business sizes and domains. Learn more about how others structure their MLOps teams. Discover which problems you need to solve first. About This Series Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.

MLOps Presentation: Databricks vs. Pachyderm

MLOps Presentation: Databricks vs. Pachyderm

Wed Apr 6, 2022, by Phil Winder, in MLOps, Talk

Dr. Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. Abstract In this talk he presents a white paper that discusses the differences between two leaders in the data engineering space – Databricks and Pachyderm. Learn how these two products differ, when to use each, and the pros and cons. At the end of the talk Phil distils this information and presets best practices.