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update default model to llama3.2 (#6959)

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Jeffrey Morgan
2024-09-25 11:11:22 -07:00
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examples/python-grounded-factuality-rag-check/README.md
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# RAG Hallucination Checker using Bespoke-Minicheck
This example allows the user to ask questions related to a document, which can be specified via an article url. Relevant chunks are retreived from the document and given to `llama3.1` as context to answer the question. Then each sentence in the answer is checked against the retrieved chunks using `bespoke-minicheck` to ensure that the answer does not contain hallucinations.
This example allows the user to ask questions related to a document, which can be specified via an article url. Relevant chunks are retreived from the document and given to `llama3.2` as context to answer the question. Then each sentence in the answer is checked against the retrieved chunks using `bespoke-minicheck` to ensure that the answer does not contain hallucinations.
## Running the Example
1. Ensure `all-minilm` (embedding) `llama3.1` (chat) and `bespoke-minicheck` (check) models installed:
1. Ensure `all-minilm` (embedding) `llama3.2` (chat) and `bespoke-minicheck` (check) models installed:
```bash
ollama pull all-minilm
ollama pull llama3.1
ollama pull llama3.2
ollama pull bespoke-minicheck
```