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Automating Code Generation with OpenAI GPT Agents: A Developer's Journey to Efficiency
Learn how to turn tedious, hours-long work processes into done-in-a-few-seconds with custom OpenAI GPT Agents! In this guide, you’ll learn how to create your first GPT Agent and how I automated my code snippet generation with the GPT Agent I wrote to revolutionize my blog content management. This simplified the entire process for making these code snippets and has (and will) save me hours upon hours of time I would have to spend doing this manually.
AWS: Predicting Stock Prices Using AI & NO CODE!
Get started building with Artificial Intelligence & Machine Learning on Amazon Web Services (AWS) without writing a single line of code! Dive into this exciting video series where we explore the possibility of predicting stock market prices with no code! Build alongside AWS Community Builder Brian H. Hough as he walks you through AWS Developer Advocate, Victoria Semaan’s blog post for this project on community.aws, where we will harness powerful tools like Amazon SageMaker Canvas, Amazon QuickSight, and Amazon S3. Whether you’re an ML enthusiast or someone curious about stock market predictions, this series is a must-watch…
Turn Your AI Model into a Real Product (Amazon SageMaker, API Gateway, AWS Lambda, Next.js, Python)
Wondering how to turn your Amazon SageMaker AI model into a real product? Whether you’re deploying the model to Amazon SageMaker, Google CoLab, or some other hosting platform, I have felt that it has been rather confusing or nebulous at best to understand how to get the model “out of the cloud” and into a real application that you or your users could use. Together, we’ll call a deployed Large Language Model on SageMaker, LLaMA 2 with our own LLaMA Chat application (a ChatGPT clone) to show you how a real application could connect directly to a model…
Launch your own LLM (Deploy LLaMA 2 on Amazon SageMaker with Hugging Face Deep Learning Containers)
Want to deploy your own Large Language Model that's smarter than ChatGPT? 🤔💭 In this exciting Tech Stack Playbook® tutorial, we'll walk through how to deploy Meta AI's LLaMA 2 LLM on Amazon SageMaker using Hugging Face Deep Learning Containers (DLCs) and Python. One of the most requested topics I've been asked about this year is how to build and deploy AI/ML systems. In under 2 hours, this video will dive into all things LLMs and the most cutting edge MLOps infrastructure available to use on the internet. We will be using Hugging Face Deep Learning Containers, Amazon SageMaker, and Python to work with the model, make prompts, and work with an endpoint for model. If you've ever wondered how systems like ChatGPT work behind the scenes, then this video is for you!…
Do’s, Don’ts, and Gotcha’s from working with Amazon SageMaker & AI (Get started with MLOps)
Learn about AI and machine learning in production, AI and MLOps pipelines with Amazon SageMaker. From LLMs like OpenAI's ChatGPT, Google's Bar, and HuggingFace, code interpreters like Amazon CodeWhisperer...
Meet C.L.Ai.R.A - the world's 1st Autonomous AI Woman of Color (Powered by GPT-3 and Create Labs)
We're going to have the privilege of speaking to C.L.Ai.R.A this week, the world's 1st Autonomous AI Woman of Color! Create Labs built C.L.Ai.R.A using GPT-3, the most sophisticated application of artificial intelligence and machine learning in the world right now coming out of OpenAI in San Francisco, to create a fully autonomous, self-thinking, and adaptive AI. I cannot wait to interview her with you all on the Tech Stack Playbook…
I built an AI-Powered Image Processor at AWS re:Invent 😱 - Day 2
Just wrapped up Day 2 of Amazon Web Services (AWS) re:Invent and from the Midnight Madness concert, to building an AI-Powered Image Processor during Talia Nassi's workshop, to catching up with Adrienne Tacke from MongoDB, and even building an AI-Powered image processing application. There is a TON going on Vegas!…