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[pull] main from openai:main #7

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merged 5 commits into from
May 6, 2023
Merged

[pull] main from openai:main #7

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403b158
Fix Redis supported client list
joeywhelan May 3, 2023
b59f105
polishes wording in a few places
ted-at-openai May 5, 2023
5008f3a
Merge pull request #395 from openai/ted/minor-wording-updates-to-qa-n…
ted-at-openai May 5, 2023
23bd266
Update How_to_count_tokens_with_tiktoken.ipynb (#368)
aiqinxuancai May 5, 2023
594fc6c
Merge pull request #391 from joeywhelan/fix-redisclients
ted-at-openai May 5, 2023
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polishes wording in a few places
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ted-at-openai committed May 5, 2023
commit b59f105ed16be7922baf5b003f7e815d92c0c95c
10 changes: 5 additions & 5 deletions examples/Question_answering_using_embeddings.ipynb
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Expand Up @@ -83,7 +83,7 @@
"\n",
"Specifically, this notebook demonstrates the following procedure:\n",
"\n",
"1. Prepare search data (once)\n",
"1. Prepare search data (once per document)\n",
" 1. Collect: We'll download a few hundred Wikipedia articles about the 2022 Olympics\n",
" 2. Chunk: Documents are split into short, mostly self-contained sections to be embedded\n",
" 3. Embed: Each section is embedded with the OpenAI API\n",
Expand All @@ -97,7 +97,7 @@
"\n",
"### Costs\n",
"\n",
"Because GPT is more expensive than embeddings search, a system with a high volume of queries will have its costs dominated by step 3.\n",
"Because GPT is more expensive than embeddings search, a system with a decent volume of queries will have its costs dominated by step 3.\n",
"\n",
"- For `gpt-3.5-turbo` using ~1,000 tokens per query, it costs ~$0.002 per query, or ~500 queries per dollar (as of Apr 2023)\n",
"- For `gpt-4`, again assuming ~1,000 tokens per query, it costs ~$0.03 per query, or ~30 queries per dollar (as of Apr 2023)\n",
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"source": [
"Thanks to the Wikipedia article included in the input message, GPT answers correctly.\n",
"\n",
"In this particular case, GPT was intelligent enough to realize that the original question was underspecified, as there were three curling gold medals, not just one.\n",
"In this particular case, GPT was intelligent enough to realize that the original question was underspecified, as there were three curling gold medal events, not just one.\n",
"\n",
"Of course, this example partly relied on human intelligence. We knew the question was about curling, so we inserted a Wikipedia article on curling.\n",
"\n",
Expand All @@ -591,7 +591,7 @@
"\n",
"To save you the time & expense, we've prepared a pre-embedded dataset of a few hundred Wikipedia articles about the 2022 Winter Olympics.\n",
"\n",
"To see how we constructed this dataset, or to modify it, see [Embedding Wikipedia articles for search](Embedding_Wikipedia_articles_for_search.ipynb)."
"To see how we constructed this dataset, or to modify it yourself, see [Embedding Wikipedia articles for search](Embedding_Wikipedia_articles_for_search.ipynb)."
]
},
{
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"source": [
"Despite `gpt-3.5-turbo` having no knowledge of the 2022 Winter Olympics, our search system was able to retrieve reference text for the model to read, allowing it to correctly list the gold medal winners in the Men's and Women's tournaments.\n",
"\n",
"However, it still wasn't quite perfect - the model failed to list the gold medal winners from the Mixed doubles event."
"However, it still wasn't quite perfect—the model failed to list the gold medal winners from the Mixed doubles event."
]
},
{
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