From 02833d22bbc46d52265b3b2e6cd0b095c18718c1 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Fri, 16 Jun 2023 15:48:36 -0700 Subject: [PATCH] be -> feel --- ...augmented_by_query_generation_and_embeddings_reranking.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/Search_augmented_by_query_generation_and_embeddings_reranking.ipynb b/examples/Search_augmented_by_query_generation_and_embeddings_reranking.ipynb index b75af15..48e3470 100644 --- a/examples/Search_augmented_by_query_generation_and_embeddings_reranking.ipynb +++ b/examples/Search_augmented_by_query_generation_and_embeddings_reranking.ipynb @@ -7,7 +7,7 @@ "source": [ "# Search augmented by query generation and embeddings reranking\n", "\n", - "Searching for relevant information can sometimes be like looking for a needle in a haystack, but don’t despair, GPTs can actually do a lot of this work for us. In this guide we explore a way to augment existing search systems with various AI techniques, helping us sift through the noise.\n", + "Searching for relevant information can sometimes feel like looking for a needle in a haystack, but don’t despair, GPTs can actually do a lot of this work for us. In this guide we explore a way to augment existing search systems with various AI techniques, helping us sift through the noise.\n", "\n", "There are two prominent approaches to using language models for information retrieval:\n", "\n",