William Arias - Deploy your Machine Learning Bots like a boss with CI/CD

Automate your machine learning bot deployments with CI/CD and make the process faster, easier, and more collaborative with speaker William Arias and tools like GitLab and Rasa.

Key takeaways
  • Use continuous integration and delivery to automate the process of building and deploying machine learning models, such as chatbots.
  • Use tools like GitLab CI/CD to orchestrate the workflow, making it easier to manage complexity and speed up development.
  • Break down the process into smaller, manageable steps, such as creating a test dataset, training the model, and deploying it to production.
  • Use version control systems like Git to track changes and collaborate with others.
  • Automated testing and validation can be incorporated into the pipeline to ensure the model meets the required standards.
  • Use Rasa, a framework for chatbots, to create and deploy chatbots, and use GitLab CI/CD to automate the process.
  • The speaker uses Rasa to create and deploy chatbots, and uses GitLab CI/CD to automate the process.
  • The speaker demonstrates how to use GitLab CI/CD to automate the deployment of a chatbot, from creating a test dataset to deploying it to production.
  • The speaker highlights the benefits of using GitLab CI/CD, including faster deployment, ease of use, and increased collaboration.
  • GitLab CI/CD is a more user-friendly and accessible alternative to Jenkins.
  • It is beneficial to break down the process into smaller, manageable steps, and to automate each step to speed up development and increase efficiency.
  • Using version control systems like Git can help to track changes and collaborate with others.
  • Automated testing and validation can be incorporated into the pipeline to ensure the model meets the required standards.
  • The speaker believes that GitLab CI/CD can help to make the process of building and deploying machine learning models more accessible and easier to use.
  • The speaker believes that break down the process into smaller, manageable steps, and to automate each step to speed up development and increase efficiency.