Descriptions
AI Engineering: Customizing LLMs for Business (Fine-Tuning LLMs with QLoRA & AWS), 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 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. You’ll deploy your own custom LLMs using AWS tools like SageMaker, Lambda, and API Gateway, as well as Streamlit for 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. AI and machine learning are so hot right now. If you want to catch and ride the AI wave, customizing LLMs for business use cases is a great place to start. It’s a skill that’s used in a ton of in-demand careers at the forefront of Artificial Intelligence including AI Engineer, Machine Learning Engineer, AI Specialist, and Data Scientist.
What you’ll learn
- Fine-tune open-source LLMs for custom business purposes
- Deploy and scale models for enterprise purposes using AWS SageMaker and Streamlit
- Understand and implement QLoRA from theory to code
- Learn to preprocess proprietary datasets with chunking, tokenization, and attention masking
- Monitor training and performance to ensure optimal business results
- Manage cloud resources and optimize for cost
- Apply advanced AI engineering techniques including quantization and more
Specificatoin of AI Engineering: Customizing LLMs for Business (Fine-Tuning LLMs with QLoRA & AWS)
- Publisher : ZeroToMastery
- Teacher : Patrik Szepesi
- Language : English
- Level : All Levels
- Number of Course : 72
- Duration : 7 hours and 30 minutes
Content of AI Engineering: Customizing LLMs for Business (Fine-Tuning LLMs with QLoRA & AWS)
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 1080p
Download Links
Password file(s): www.downloadly.ir
File size
1.4 GB
