Build Retrieval Augmented Generation (RAG) systems for real-world applications.
Gain fundamental understanding and the practical knowledge to develop production-ready RAG applications, from architecture to deployment and evaluation.
Build Retrieval Augmented Generation (RAG) systems for real-world applications.
Gain fundamental understanding and the practical knowledge to develop production-ready RAG applications, from architecture to deployment and evaluation.
Hi, I enrolled in the course. Where can we find the course lab code to play with it in my own Jupiter NoteBook
Hi!
I also had the same problem. I solved it by installing JupyterLab.
Please check that you have Python installed.
pip install jupyterlab
Is there a way to point out or provide guidance on how to use customized fine-tuned models from huggingface directly with together.ai? Rather than using the provided meta/llama3 model, I wanted to try out a customized fine-tuned model hosted at huggingface.
Just wanted to say that I thought the course was great!! Lectures were pretty insightful and the labs let you 'dip your feet in the water '.
in each module in coursera at last we have LAB.
Course is awasome I need all contest as PDF for inteview purpose proper, live book