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docs: run codespell on all notebooks (#736)

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* run codespell on all notebooks

* fix codespell
This commit is contained in:
Vadym Barda
2024-06-20 21:39:13 -04:00
committed by GitHub
parent cae502b8fe
commit f741fbf92e
20 changed files with 70 additions and 55 deletions
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examples/tutorials/sql-agent.ipynb
+1 -1
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@@ -459,7 +459,7 @@
"query_check_prompt = ChatPromptTemplate.from_messages([(\"system\", query_check_system),(\"placeholder\", \"{messages}\")])\n",
"query_check = query_check_prompt | ChatOpenAI(model=\"gpt-4o\", temperature=0).bind_tools([db_query_tool], tool_choice=\"required\")\n",
"\n",
"query_check.invoke({\"messages\": [(\"user\", \"SELET * FROM Artist LIMIT 10;\")]})"
"query_check.invoke({\"messages\": [(\"user\", \"SELECT * FROM Artist LIMIT 10;\")]})"
]
},
{
examples/tutorials/tnt-llm/tnt-llm.ipynb
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@@ -762,7 +762,7 @@
"\n",
"#### Label Training Data\n",
"\n",
"Use an LLM to label the data in a fully-automated fashion. For beter accuracy, you can sample a portion of the results to label by hand as well to verify the quality.\n"
"Use an LLM to label the data in a fully-automated fashion. For better accuracy, you can sample a portion of the results to label by hand as well to verify the quality.\n"
]
},
{
@@ -1048,7 +1048,7 @@
"source": [
"## Conclusion\n",
"\n",
"Congrats on implementing TNT-LLM! While most folks use clustering-based approachs like LDA, k-means, etc. it can often be hard to really interpret what each cluster represents. TNT-LLM generates human-interpretable labels you can use downstream to monitor and improve your application.\n",
"Congrats on implementing TNT-LLM! While most folks use clustering-based approaches like LDA, k-means, etc. it can often be hard to really interpret what each cluster represents. TNT-LLM generates human-interpretable labels you can use downstream to monitor and improve your application.\n",
"\n",
"The technique also lends itself to hierarchical sub-categorizing: once you have the above taxonomy, use it to label your data, then on each sub-category, generate a new taxonomy using a similar technique to the one described above!\n"
]