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Unverified Commit 55222b5d authored by Shorthills AI's avatar Shorthills AI Committed by GitHub
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Fixed some grammatical mistakes (#9456)


* Grammatical_error in docs/api_reference/query.rst

* Grammatical error in docs/end_to_end_tutorials/dev_practices/e2e_evaluation.md

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Co-authored-by: default avatarKamalSharmaShorthillsAI <kamal@shorthills.ai>
Co-authored-by: default avatarHaotian Zhang <socool.king@gmail.com>
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......@@ -9,7 +9,7 @@ This doc shows the classes that are used to query indices.
Main Query Classes
^^^^^^^^^^^^^^^^^^
Querying an index involves a three main components:
Querying an index involves three main components:
- **Retrievers**: A retriever class retrieves a set of Nodes from an index given a query.
- **Response Synthesizer**: This class takes in a set of Nodes and synthesizes an answer given a query.
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......@@ -58,7 +58,7 @@ It may be expensive to use GPT-4 to carry out evaluation especially as your dev
Metrics ensembling uses an ensemble of weaker signals (exact match, F1, ROUGE, BLEU, BERT-NLI and BERT-similarity) to predict the output of a more expensive evaluation methods that are closer to the gold labels (human-labelled/GPT-4).
It is intenteded for two purposes:
It is intended for two purposes:
1. Evaluating changes cheaply and quickly across a large dataset during the development stage.
2. Flagging outliers for further evaluation (GPT-4 / human alerting) during the production monitoring stage.
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