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Update Image and website url #14

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Aug 26, 2024
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Update Image and website url #14

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2a047cc
update url
yiranwu0 Aug 25, 2024
dcd4014
Merge remote-tracking branch 'origin/main' into imgurl
yiranwu0 Aug 26, 2024
e79caca
update
yiranwu0 Aug 26, 2024
e102371
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yiranwu0 Aug 26, 2024
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2 changes: 1 addition & 1 deletion notebook/JSON_mode_example.ipynb
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Expand Up @@ -19,7 +19,7 @@
"\n",
"\n",
"Please find documentation about this feature in OpenAI [here](https://platform.openai.com/docs/guides/text-generation/json-mode).\n",
"More information about Agent Descriptions is located [here](https://microsoft.github.io/autogen/blog/2023/12/29/AgentDescriptions/)\n",
"More information about Agent Descriptions is located [here](https://autogen-ai.github.io/autogen/blog/2023/12/29/AgentDescriptions/)\n",
"\n",
"Benefits\n",
"- This contribution provides a method to implement precise speaker transitions based on content of the input message. The example can prevent Prompt hacks that use coersive language.\n",
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6 changes: 3 additions & 3 deletions notebook/agentchat_MathChat.ipynb
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Expand Up @@ -15,9 +15,9 @@
"source": [
"# Auto Generated Agent Chat: Using MathChat to Solve Math Problems\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. Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\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. Please find documentation about this feature [here](https://autogen-ai.github.io/autogen/docs/Use-Cases/agent_chat).\n",
"\n",
"MathChat is an experimental conversational framework for math problem solving. In this notebook, we demonstrate how to use MathChat to solve math problems. MathChat uses the `AssistantAgent` and `MathUserProxyAgent`, which is similar to the usage of `AssistantAgent` and `UserProxyAgent` in other notebooks (e.g., [Automated Task Solving with Code Generation, Execution & Debugging](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_auto_feedback_from_code_execution.ipynb)). Essentially, `MathUserProxyAgent` implements a different auto reply mechanism corresponding to the MathChat prompts. You can find more details in the paper [An Empirical Study on Challenging Math Problem Solving with GPT-4](https://arxiv.org/abs/2306.01337) or the [blogpost](https://microsoft.github.io/autogen/blog/2023/06/28/MathChat).\n",
"MathChat is an experimental conversational framework for math problem solving. In this notebook, we demonstrate how to use MathChat to solve math problems. MathChat uses the `AssistantAgent` and `MathUserProxyAgent`, which is similar to the usage of `AssistantAgent` and `UserProxyAgent` in other notebooks (e.g., [Automated Task Solving with Code Generation, Execution & Debugging](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_auto_feedback_from_code_execution.ipynb)). Essentially, `MathUserProxyAgent` implements a different auto reply mechanism corresponding to the MathChat prompts. You can find more details in the paper [An Empirical Study on Challenging Math Problem Solving with GPT-4](https://arxiv.org/abs/2306.01337) or the [blogpost](https://autogen-ai.github.io/autogen/blog/2023/06/28/MathChat).\n",
"\n",
"````{=mdx}\n",
":::info Requirements\n",
Expand All @@ -39,7 +39,7 @@
"source": [
"## Set your API Endpoint\n",
"\n",
"The [`config_list_from_json`](https://microsoft.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file.\n"
"The [`config_list_from_json`](https://autogen-ai.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file.\n"
]
},
{
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18 changes: 9 additions & 9 deletions notebook/agentchat_RetrieveChat.ipynb
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"# Using RetrieveChat for Retrieve Augmented Code Generation and Question Answering\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",
"Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\n",
"Please find documentation about this feature [here](https://autogen-ai.github.io/autogen/docs/Use-Cases/agent_chat).\n",
"\n",
"RetrieveChat is a conversational system for retrieval-augmented code generation and question answering. In this notebook, we demonstrate how to utilize RetrieveChat to generate code and answer questions based on customized documentations that are not present in the LLM's training dataset. RetrieveChat uses the `AssistantAgent` and `RetrieveUserProxyAgent`, which is similar to the usage of `AssistantAgent` and `UserProxyAgent` in other notebooks (e.g., [Automated Task Solving with Code Generation, Execution & Debugging](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_auto_feedback_from_code_execution.ipynb)). Essentially, `RetrieveUserProxyAgent` implement a different auto-reply mechanism corresponding to the RetrieveChat prompts.\n",
"\n",
Expand Down Expand Up @@ -43,7 +43,7 @@
"source": [
"## Set your API Endpoint\n",
"\n",
"The [`config_list_from_json`](https://microsoft.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file.\n"
"The [`config_list_from_json`](https://autogen-ai.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file.\n"
]
},
{
Expand Down Expand Up @@ -141,8 +141,8 @@
")\n",
"\n",
"# 2. create the RetrieveUserProxyAgent instance named \"ragproxyagent\"\n",
"# Refer to https://microsoft.github.io/autogen/docs/reference/agentchat/contrib/retrieve_user_proxy_agent\n",
"# and https://microsoft.github.io/autogen/docs/reference/agentchat/contrib/vectordb/chromadb\n",
"# Refer to https://autogen-ai.github.io/autogen/docs/reference/agentchat/contrib/retrieve_user_proxy_agent\n",
"# and https://autogen-ai.github.io/autogen/docs/reference/agentchat/contrib/vectordb/chromadb\n",
"# for more information on the RetrieveUserProxyAgent and ChromaVectorDB\n",
"ragproxyagent = RetrieveUserProxyAgent(\n",
" name=\"ragproxyagent\",\n",
Expand Down Expand Up @@ -287,7 +287,7 @@
"\n",
"#### Model List\n",
"\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"\n",
Expand Down Expand Up @@ -685,7 +685,7 @@
"\n",
"#### Model List\n",
"\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"\n",
Expand Down Expand Up @@ -881,7 +881,7 @@
"\n",
"### Estimators\n",
"#### Model List\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"First, prepare your data in the required format as described in the previous section.\n",
Expand Down Expand Up @@ -1294,7 +1294,7 @@
"\n",
"### Estimators\n",
"#### Model List\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"First, prepare your data in the required format as described in the previous section.\n",
Expand Down Expand Up @@ -1547,7 +1547,7 @@
"\n",
"### Estimators\n",
"#### Model List\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"First, prepare your data in the required format as described in the previous section.\n",
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4 changes: 2 additions & 2 deletions notebook/agentchat_RetrieveChat_mongodb.ipynb
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Expand Up @@ -123,8 +123,8 @@
")\n",
"\n",
"# 2. create the RetrieveUserProxyAgent instance named \"ragproxyagent\"\n",
"# Refer to https://microsoft.github.io/autogen/docs/reference/agentchat/contrib/retrieve_user_proxy_agent\n",
"# and https://microsoft.github.io/autogen/docs/reference/agentchat/contrib/vectordb/mongodb\n",
"# Refer to https://autogen-ai.github.io/autogen/docs/reference/agentchat/contrib/retrieve_user_proxy_agent\n",
"# and https://autogen-ai.github.io/autogen/docs/reference/agentchat/contrib/vectordb/mongodb\n",
"# for more information on the RetrieveUserProxyAgent and MongoDBAtlasVectorDB\n",
"ragproxyagent = RetrieveUserProxyAgent(\n",
" name=\"ragproxyagent\",\n",
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16 changes: 8 additions & 8 deletions notebook/agentchat_RetrieveChat_pgvector.ipynb
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Expand Up @@ -8,7 +8,7 @@
"# Using RetrieveChat Powered by PGVector for Retrieve Augmented Code Generation and Question Answering\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",
"Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\n",
"Please find documentation about this feature [here](https://autogen-ai.github.io/autogen/docs/Use-Cases/agent_chat).\n",
"\n",
"RetrieveChat is a conversational system for retrieval-augmented code generation and question answering. In this notebook, we demonstrate how to utilize RetrieveChat to generate code and answer questions based on customized documentations that are not present in the LLM's training dataset. RetrieveChat uses the `AssistantAgent` and `RetrieveUserProxyAgent`, which is similar to the usage of `AssistantAgent` and `UserProxyAgent` in other notebooks (e.g., [Automated Task Solving with Code Generation, Execution & Debugging](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_auto_feedback_from_code_execution.ipynb)). Essentially, `RetrieveUserProxyAgent` implement a different auto-reply mechanism corresponding to the RetrieveChat prompts.\n",
"\n",
Expand Down Expand Up @@ -67,7 +67,7 @@
"source": [
"## Set your API Endpoint\n",
"\n",
"The [`config_list_from_json`](https://microsoft.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file.\n"
"The [`config_list_from_json`](https://autogen-ai.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file.\n"
]
},
{
Expand Down Expand Up @@ -175,8 +175,8 @@
"sentence_transformer_ef = SentenceTransformer(\"all-distilroberta-v1\").encode\n",
"\n",
"# 2. create the RetrieveUserProxyAgent instance named \"ragproxyagent\"\n",
"# Refer to https://microsoft.github.io/autogen/docs/reference/agentchat/contrib/retrieve_user_proxy_agent\n",
"# and https://microsoft.github.io/autogen/docs/reference/agentchat/contrib/vectordb/pgvectordb\n",
"# Refer to https://autogen-ai.github.io/autogen/docs/reference/agentchat/contrib/retrieve_user_proxy_agent\n",
"# and https://autogen-ai.github.io/autogen/docs/reference/agentchat/contrib/vectordb/pgvectordb\n",
"# for more information on the RetrieveUserProxyAgent and PGVectorDB\n",
"ragproxyagent = RetrieveUserProxyAgent(\n",
" name=\"ragproxyagent\",\n",
Expand Down Expand Up @@ -339,7 +339,7 @@
"\n",
"#### Model List\n",
"\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"\n",
Expand Down Expand Up @@ -600,7 +600,7 @@
"\n",
"#### Model List\n",
"\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"\n",
Expand Down Expand Up @@ -1102,7 +1102,7 @@
"\n",
"#### Model List\n",
"\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"\n",
Expand Down Expand Up @@ -1363,7 +1363,7 @@
"\n",
"#### Model List\n",
"\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://microsoft.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"- `lgbm_spark`: The class for fine-tuning Spark version LightGBM models, using [SynapseML](https://autogen-ai.github.io/SynapseML/docs/features/lightgbm/about/) API.\n",
"\n",
"#### Usage\n",
"\n",
Expand Down
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