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ai21: AI21 Jamba docs (#21978)

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- Updated docs to have an example to use Jamba instead of J2

---------

Co-authored-by: Asaf Gardin <asafg@ai21.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
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Asaf Joseph Gardin 2024-05-21 22:27:46 +03:00 committed by GitHub
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10
docs/docs/integrations/chat/ai21.ipynb
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@ -95,7 +95,7 @@
"from langchain_ai21 import ChatAI21\n",
"from langchain_core.prompts import ChatPromptTemplate\n",
"\n",
"chat = ChatAI21(model=\"j2-ultra\")\n",
"chat = ChatAI21(model=\"jamba-instruct\")\n",
"\n",
"prompt = ChatPromptTemplate.from_messages(\n",
" [\n",
@ -107,14 +107,6 @@
"chain = prompt | chat\n",
"chain.invoke({\"english_text\": \"Hello, how are you?\"})"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c159a79f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {

4
libs/partners/ai21/README.md
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@ -27,11 +27,13 @@ Then initialize
from langchain_core.messages import HumanMessage
from langchain_ai21.chat_models import ChatAI21
chat = ChatAI21(model="j2-ultra")
chat = ChatAI21(model="jamab-instruct")
messages = [HumanMessage(content="Hello from AI21")]
chat.invoke(messages)
```
For a list of the supported models, see [this page](https://docs.ai21.com/reference/python-sdk#chat)
## LLMs
You can use AI21's generative AI models as Langchain LLMs: