G'day everyone. Sorry it's been a long time between blog posts. Since my last post, I've been very busy, making babies....and slightly less exciting....I have published another blog post with AWS. This time it's an end-to-end demonstration of how you can get started with Generative AI on AWS. In fact, it's two end-to-end demonstrations, complete with prerequisites needed on how to get started with the AWS machine learning service: Amazon SageMaker. Here is a little video teaser showcasing my "baby tools", a tribute to May the Fourth be with you and an introduction to the blog post content. IThe blog post features 2 demonstrations using a tool called Amazon SageMaker Jumpstart. The first one shows how you can use AI to generate new text, using the GPT-2 model. This is a model that is similar to the one used in the infamous ChatGPT app, developed by OpenAI. However it does not natively have the capability to provide a chatbot like interface. Here is an architecture that will allow you to integrate ChatGPT if you're interested in that use case:
aws.amazon.com/blogs/compute/implementing-an-event-driven-serverless-story-generation-application-with-chatgpt-and-dall-e/ And for those are keen to get down and dirty with those demonstrations, the link to the blog post is below: aws.amazon.com/blogs/machine-learning/get-started-with-generative-ai-on-aws-using-amazon-sagemaker-jumpstart/ I hope you all have a fantastic day and let me know what you think of the new blog post. Take care, P #TheDigitalCoach https://twitter.com/DigitalColmer
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CategoriesAll Active Directory Architecture Big Data Blockchain Cloud Comedy Cyber DevOps Driverless Cars MicroServices Office 365 Scaled Agile Social Media AuthorPaul Colmer is an AWS Senior Technical Trainer. Paul has an infectious passion for inspring others to learn and to applying disruptive thinking in an engaging and positive way. Archives
January 2023
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