7 RAG Tools to Make the Most Out of Your LLMs
Briefly

from Medium1 month ago
RAG models are designed to enhance LLMs by incorporating external knowledge through document retrieval for more contextually relevant outputs.
Mediumhttps://odsc.medium.com/7-rag-tools-to-make-the-most-out-of-your-llms-8d060cf6b6ec
RAG models have been effective in knowledge-intensive NLP tasks like open-domain question answering, setting new benchmarks.
Mediumhttps://odsc.medium.com/7-rag-tools-to-make-the-most-out-of-your-llms-8d060cf6b6ec
NeMo Guardrails by NVIDIA provide an open-source toolkit to add guardrails to conversational systems based on large language models, ensuring safer interactions.
Mediumhttps://odsc.medium.com/7-rag-tools-to-make-the-most-out-of-your-llms-8d060cf6b6ec
The NeMo Guardrails toolkit allows developers to define model behavior on specific topics, preventing unwanted subjects and complying with conversation design best practices.
Mediumhttps://odsc.medium.com/7-rag-tools-to-make-the-most-out-of-your-llms-8d060cf6b6ec
Read at Medium
#rag-models #nemo-guardrails #llms #nlp-tasks #large-language-models
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