
Deep Reinforcement Learning Workshop - Hands-on with Deep RL
This is a video of a workshop about Deep Reinforcement Learning. It introduces RL, explains how to develp an RL project, and walks you through two RL examples.
Dr. Phil Winder
/
18 min
This is a video of a workshop about Deep Reinforcement Learning. It introduces RL, explains how to develp an RL project, and walks you through two RL examples.
Dr. Phil Winder
/
18 min
Create bespoke LLMs like ChatGPT using commercial & open-source models. Discover the key phases of LLM development, with deep-dives later in the series.
Natalia Kuzminykh
/
9 min
Explore how to build Auth0 apps on Cloudflare Pages, tackling compatibility issues with JavaScript frameworks due to V8 runtime adoption.
Dr. Phil Winder
/
3 min
Explore the workings of ChatGPT and large language models (LLMs) in AI, their creation, applications, and impact. Part 1 in this series introduces the basics.
Natalia Kuzminykh
/
9 min
MLOps consulting for insurance companies. Learn how Winder.AI collaborated with Tractable to deliver vital AI efficiency via MLOps.
Dr. Phil Winder
/
3 min
Reinforcement learning consulting for finance companies. Learn how Winder.AI collaborated with a finance company to optimize their customer journeys.
Dr. Phil Winder
/
6 min
An AI product development case study introducing Bacalhau Amplify, a data engineering tool based upon Web3 technologies, and our work with Expanso Inc.
Dr. Phil Winder
/
3 min
MLOps consulting for finance companies. Learn how Winder.AI collaborated with an automotive loan provider to deliver a comprehensive MLOps audit.
Dr. Phil Winder
/
3 min
A collaboration between Genesis Energy and Winder.AI where we developed a reinforcement learning-powered solution for optimal hydroelectric power generation.
Dr. Phil Winder
/
3 min
A presentation discussing the results of a report for a UK government regulator to interview and analyse how online platforms are using MLOps and governance to help operate their AI solutions.
Dr. Phil Winder
/
1 minCase studies and industry analysis from our team. No hype, roughly monthly.