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Change Chain Docs (#3537)
Co-authored-by: engkheng <60956360+outday29@users.noreply.github.com>
This commit is contained in:
Zander Chase
GitHub
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b49ee372f1
@ -26,12 +26,13 @@
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"\n",
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"The `LLMChain` is a simple chain that takes in a prompt template, formats it with the user input and returns the response from an LLM.\n",
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"\n",
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"\n",
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"To use the `LLMChain`, first create a prompt template."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"metadata": {
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"tags": []
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},
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@ -56,7 +57,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 2,
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"metadata": {
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"tags": []
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},
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@ -67,7 +68,7 @@
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"text": [
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"\n",
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"\n",
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"Cheerful Toes.\n"
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"SockSplash!\n"
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]
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}
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],
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@ -88,7 +89,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 3,
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"metadata": {
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"tags": []
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},
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@ -97,7 +98,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Rainbow Footwear Co.\n"
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"Rainbow Sox Co.\n"
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]
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}
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],
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@ -130,17 +131,17 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'adjective': 'lame',\n",
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"{'adjective': 'corny',\n",
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" 'text': 'Why did the tomato turn red? Because it saw the salad dressing!'}"
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]
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},
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"execution_count": 6,
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -153,7 +154,7 @@
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" prompt=PromptTemplate.from_template(prompt_template)\n",
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")\n",
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"\n",
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"llm_chain(inputs={\"adjective\":\"lame\"})"
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"llm_chain(inputs={\"adjective\":\"corny\"})"
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]
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},
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{
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@ -165,7 +166,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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@ -174,25 +175,47 @@
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"{'text': 'Why did the tomato turn red? Because it saw the salad dressing!'}"
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]
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},
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"execution_count": 7,
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"llm_chain(\"lame\", return_only_outputs=True)"
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"llm_chain(\"corny\", return_only_outputs=True)"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"If the `Chain` only takes one input key (i.e. only has one element in its `input_variables`), you can use `run` method. Note that `run` outputs a string instead of a dictionary."
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"If the `Chain` only outputs one output key (i.e. only has one element in its `output_keys`), you can use `run` method. Note that `run` outputs a string instead of a dictionary."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['text']"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# llm_chain only has one output key, so we can use run\n",
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"llm_chain.output_keys"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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@ -201,47 +224,47 @@
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"'Why did the tomato turn red? Because it saw the salad dressing!'"
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]
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},
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"execution_count": 8,
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"llm_chain.run({\"adjective\":\"lame\"})"
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"llm_chain.run({\"adjective\":\"corny\"})"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Besides, in the case of one input key, you can input the string directly without specifying the input mapping."
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"In the case of one input key, you can input the string directly without specifying the input mapping."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'adjective': 'lame',\n",
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"{'adjective': 'corny',\n",
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" 'text': 'Why did the tomato turn red? Because it saw the salad dressing!'}"
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]
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},
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"execution_count": 9,
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# These two are equivalent\n",
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"llm_chain.run({\"adjective\":\"lame\"})\n",
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"llm_chain.run(\"lame\")\n",
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"llm_chain.run({\"adjective\":\"corny\"})\n",
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"llm_chain.run(\"corny\")\n",
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"\n",
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"# These two are also equivalent\n",
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"llm_chain(\"lame\")\n",
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"llm_chain({\"adjective\":\"lame\"})"
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"llm_chain(\"corny\")\n",
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"llm_chain({\"adjective\":\"corny\"})"
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]
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},
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{
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@ -262,7 +285,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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@ -271,7 +294,7 @@
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"'The next four colors of a rainbow are green, blue, indigo, and violet.'"
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]
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},
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"execution_count": 11,
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -309,7 +332,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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@ -336,7 +359,7 @@
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"'ChatGPT is an AI language model developed by OpenAI. It is based on the GPT-3 architecture and is capable of generating human-like responses to text prompts. ChatGPT has been trained on a massive amount of text data and can understand and respond to a wide range of topics. It is often used for chatbots, virtual assistants, and other conversational AI applications.'"
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]
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},
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"execution_count": 13,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -365,7 +388,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -385,7 +408,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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@ -398,12 +421,12 @@
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"\u001b[36;1m\u001b[1;3mRainbow Socks Co.\u001b[0m\n",
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"\u001b[33;1m\u001b[1;3m\n",
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"\n",
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"\"Step into Color with Rainbow Socks Co!\"\u001b[0m\n",
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"\"Step into Color with Rainbow Socks!\"\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\n",
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"\"Step into Color with Rainbow Socks Co!\"\n"
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"\"Step into Color with Rainbow Socks!\"\n"
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]
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}
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],
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@ -434,7 +457,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -468,12 +491,13 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Now, we can try running the chain that we called."
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"Now, we can try running the chain that we called.\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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@ -483,7 +507,7 @@
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"Concatenated output:\n",
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"\n",
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"\n",
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"Kaleidoscope Socks.\n",
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"Socktastic Colors.\n",
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"\n",
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"\"Put Some Color in Your Step!\"\n"
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]
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@ -531,7 +555,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.10"
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"version": "3.8.16"
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},
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"vscode": {
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"interpreter": {
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