Found 16 repositories(showing 16)
Jupyter notebooks for course Building and Evaluating Advanced RAG Applications, taught by Jerry Liu (Co-founder and CEO of LlamaIndex) and Anupam Datta (Co-founder and chief scientist of TruEra).
lorenzobalzani
This repo houses experimental projects inspired by insights from the course 'Building and Evaluating Advanced RAG Applications' offered by DeepLearning.AI
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A 10-week intensive bootcamp focused on building production-ready AI agent applications. Learn advanced LLM concepts and implementation including RAG, fine-tuning, multi-agent systems, evaluation metrics, and deployment optimization. Build real-world projects using industry-standard tools like LangChain, OpenAI, and LlamaIndex.
Building-and-Evaluating-Advanced-RAG-Applications Deeplearning AI Course
Fatemeh-Esmaeili
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vikadubanevica
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https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag
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Maliyek
Building and Evaluating Advanced RAG Applications
shiyuangu
DLAI Building and Evaluating Advanced RAG Applications
Notebooks from deeplearning.ai course "Building and Evaluating Advanced RAG Applications"
EricaCQ
RAG_Evaluation is a reproduction of the Building and Evaluating Advanced RAG Applications Couse
A 10-week intensive bootcamp focused on building production-ready AI agent applications. Learn advanced LLM concepts and implementation including RAG, fine-tuning, multi-agent systems, evaluation metrics, and deployment optimization. Build real-world projects using industry-standard tools like LangChain, OpenAI, and LlamaIndex.
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