Excited to launch our new course with @llama_index & @DeepLearningAI
"Building & Evaluating Advanced #RAGApplications"!
Learn:
Two advanced retrieval methods
Evaluation & experiment tracking
#RAG eval & comparison triad
It's free!
https://t.co/Fc5eJ91QYa
#LLMapps#RAGapps
Over 15,000 people have signed up for next week's LIVE workshop on building #RAGapps with @jerryjliu0 and @datta_cs!
You don't want to miss it - sign up today!
It's a great complement to the on-demand course that launched on @DeepLearningAI yesterday. Sign up for both!
New short course on sophisticated RAG (Retrieval Augmented Generation) techniques is out! Taught by @jerryjliu0 and @datta_cs of @llama_index and @truera_ai , this teaches advanced techniques that help your LLM generate good answers.
Topics include:
- Sentence-window retrieval, which retrieves not just the most relevant sentence, but a window of sentences around it for higher quality context.
- Auto-merging retrieval, which organizes your document into a hierarchical tree structure, where each parent node's text is split among its child nodes. Based on the relevance of the child nodes to a user query, this lets you better decide whether the entire parent node should be provided as context to the LLM.
- Evaluation methodology for separately evaluating the quality of the key steps of RAG (context relevance, answer relevance, groundedness) so that you can perform error analysis, identify which part of your pipeline needs work, and tune components systematically.
Please check out the course!
https://t.co/O23Z2CDldk
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