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Fix bad spellings for 'convenience' (#3936)
Found in the docs for chat prompt templates: https://python.langchain.com/en/latest/getting_started/getting_started.html#chat-prompt-templates and fixed similar issues in neighboring notebooks.
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@@ -18,7 +18,7 @@
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"In this notebook, we will walk through the simplest form of memory: \"buffer\" memory, which just involves keeping a buffer of all prior messages. We will show how to use the modular utility functions here, then show how it can be used in a chain (both returning a string as well as a list of messages).\n",
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"\n",
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"## ChatMessageHistory\n",
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"One of the core utility classes underpinning most (if not all) memory modules is the `ChatMessageHistory` class. This is a super lightweight wrapper which exposes convienence methods for saving Human messages, AI messages, and then fetching them all. \n",
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"One of the core utility classes underpinning most (if not all) memory modules is the `ChatMessageHistory` class. This is a super lightweight wrapper which exposes convenience methods for saving Human messages, AI messages, and then fetching them all. \n",
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"\n",
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"You may want to use this class directly if you are managing memory outside of a chain."
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]
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@@ -200,7 +200,7 @@
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"source": [
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"You can make use of templating by using a `MessagePromptTemplate`. You can build a `ChatPromptTemplate` from one or more `MessagePromptTemplates`. You can use `ChatPromptTemplate`'s `format_prompt` -- this returns a `PromptValue`, which you can convert to a string or Message object, depending on whether you want to use the formatted value as input to an llm or chat model.\n",
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"\n",
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"For convience, there is a `from_template` method exposed on the template. If you were to use this template, this is what it would look like:"
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"For convenience, there is a `from_template` method exposed on the template. If you were to use this template, this is what it would look like:"
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]
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},
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{
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@@ -79,7 +79,7 @@
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"source": [
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"You can make use of templating by using a `MessagePromptTemplate`. You can build a `ChatPromptTemplate` from one or more `MessagePromptTemplates`. You can use `ChatPromptTemplate`'s `format_prompt` -- this returns a `PromptValue`, which you can convert to a string or Message object, depending on whether you want to use the formatted value as input to an llm or chat model.\n",
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"\n",
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"For convience, there is a `from_template` method exposed on the template. If you were to use this template, this is what it would look like:"
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"For convenience, there is a `from_template` method exposed on the template. If you were to use this template, this is what it would look like:"
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]
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},
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{
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