Udemy – AI Engineering Customizing LLMs for Business (Fine-Tuning LLMs with QLoRA & AWS)
English | Tutorial | Size: 1.32 GB
Master the in-demand AI skill that businesses want: to build and deploy customized LLMs. Learn to fine-tune open-source LLMs on proprietary data and deploy your customized LLM models using AWS SageMaker and Streamlit.
This isn’t just another “intro to AI” course. It’s a deep dive into the real-world skills that set AI Engineers apart.
You’ll learn how to fine-tune open-source large language models models on custom data, teaching you the skills needed to do the same with a business’ proprietary or private data.
Plus you’ll conduct fine-tuning using QLoRA – a game-changing technique that drastically cuts resource usage.
But you won’t stop there. Businesses need more from their LLMs. They demand more.
You’ll deploy your own custom LLMs using AWS tools like SageMaker, Lambda, and API Gateway, as well as Streamlit for the creating an easy-to-use user interface for the business’ employees or customers.
Along the way, you’ll master concepts like bfloat16 training, dataset chunking, attention masks, HuggingFace’s Estimator API, and much more.
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