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Fix grammar in agentchat_web_info.ipynb #362

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Merged
merged 2 commits into from
Oct 22, 2023
Merged

Fix grammar in agentchat_web_info.ipynb #362

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25d8d6b
Fix grammar for agentchat_web_info.ipynb
shruti222patel Oct 22, 2023
0caa2d0
Merge branch 'main' into patch-18
sonichi Oct 22, 2023
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8 changes: 4 additions & 4 deletions notebook/agentchat_web_info.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -19,12 +19,12 @@
"source": [
"# Auto Generated Agent Chat: Solving Tasks Requiring Web Info\n",
"\n",
"AutoGen offers conversable agents powered by LLM, tool or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation.\n",
"AutoGen offers conversable agents powered by LLM, tool, or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation.\n",
"Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\n",
"\n",
"In this notebook, we demonstrate how to use `AssistantAgent` and `UserProxyAgent` to perform tasks which require acquiring info from the web:\n",
"* discuss a paper based on its URL.\n",
"* discuss about stock market.\n",
"* discuss about the stock market.\n",
"\n",
"Here `AssistantAgent` is an LLM-based agent that can write Python code (in a Python coding block) for a user to execute for a given task. `UserProxyAgent` is an agent which serves as a proxy for a user to execute the code written by `AssistantAgent`. By setting `human_input_mode` properly, the `UserProxyAgent` can also prompt the user for feedback to `AssistantAgent`. For example, when `human_input_mode` is set to \"TERMINATE\", the `UserProxyAgent` will execute the code written by `AssistantAgent` directly and return the execution results (success or failure and corresponding outputs) to `AssistantAgent`, and prompt the user for feedback when the task is finished. When user feedback is provided, the `UserProxyAgent` will directly pass the feedback to `AssistantAgent`.\n",
"\n",
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"]\n",
"```\n",
"\n",
"If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choose \"upload file\" icon.\n",
"If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choosing \"upload file\" icon.\n",
"\n",
"You can set the value of config_list in other ways you prefer, e.g., loading from a YAML file."
]
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"source": [
"## Example Task: Paper Talk from URL\n",
"\n",
"We invoke the `initiate_chat()` method of the user proxy agent to start the conversation. When you run the cell below, you will be prompted to provide feedback after the assistant agent sends a \"TERMINATE\" signal in the end of the message. If you don't provide any feedback (by pressing Enter directly), the conversation will finish. Before the \"TERMINATE\" signal, the user proxy agent will try to execute the code suggested by the assistant agent on behalf of the user."
"We invoke the `initiate_chat()` method of the user proxy agent to start the conversation. When you run the cell below, you will be prompted to provide feedback after the assistant agent sends a \"TERMINATE\" signal at the end of the message. If you don't provide any feedback (by pressing Enter directly), the conversation will finish. Before the \"TERMINATE\" signal, the user proxy agent will try to execute the code suggested by the assistant agent on behalf of the user."
]
},
{
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