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diff --git a/website/blog/2023-04-21-LLM-tuning-math/index.md b/website/blog/2023-04-21-LLM-tuning-math/index.md
@@ -71,4 +71,4 @@ The need for model selection, parameter tuning and cost saving is not specific t
 * [Research paper about the tuning technique](https://arxiv.org/abs/2303.04673)
 * [Documentation about inference tuning](/docs/Use-Cases/enhanced_inference)
 
-*Do you have any experience to share about LLM applications? Do you like to see more support or research of LLM optimization or automation? Please join our [Discord](https://aka.ms/autogen-dc) server for discussion.*
+*Do you have any experience to share about LLM applications? Do you like to see more support or research of LLM optimization or automation? Please join our [Discord](https://discord.gg/pAbnFJrkgZ) server for discussion.*
diff --git a/website/blog/2023-05-18-GPT-adaptive-humaneval/index.mdx b/website/blog/2023-05-18-GPT-adaptive-humaneval/index.mdx
@@ -170,7 +170,7 @@ There are many directions of extensions in research and development:
 - Automate the process of optimizing the configurations.
 - Build adaptive agents for different applications.
 
-_Do you find this approach applicable to your use case? Do you have any other challenge to share about LLM applications? Do you like to see more support or research of LLM optimization or automation? Please join our [Discord](https://aka.ms/autogen-dc) server for discussion._
+_Do you find this approach applicable to your use case? Do you have any other challenge to share about LLM applications? Do you like to see more support or research of LLM optimization or automation? Please join our [Discord](https://discord.gg/pAbnFJrkgZ) server for discussion._
 
 ## For Further Reading
 

diff --git a/website/blog/2023-06-28-MathChat/index.mdx b/website/blog/2023-06-28-MathChat/index.mdx
@@ -93,4 +93,4 @@ Further work can be done to enhance this framework or math problem-solving in ge
 - [Research paper of MathChat](https://arxiv.org/abs/2306.01337)
 - [Documentation about `autogen`](/docs/Getting-Started)
 
-_Are you working on applications that involve math problem-solving? Would you appreciate additional research or support on the application of LLM-based agents for math problem-solving? Please join our [Discord](https://aka.ms/autogen-dc) server for discussion._
+_Are you working on applications that involve math problem-solving? Would you appreciate additional research or support on the application of LLM-based agents for math problem-solving? Please join our [Discord](https://discord.gg/pAbnFJrkgZ) server for discussion._
diff --git a/website/blog/2023-10-26-TeachableAgent/index.mdx b/website/blog/2023-10-26-TeachableAgent/index.mdx
@@ -394,4 +394,4 @@ The solution is: 8 * 3 + 7 * 5
 
 ## Conclusion
 
-`Teachability` is still under active research and development. For any problems you find or improvements you have in mind, please join our discussions in this repo and on our [Discord channel](https://aka.ms/autogen-dc). We look forward to seeing how you and the rest of the community can use and improve teachable agents in AutoGen!
+`Teachability` is still under active research and development. For any problems you find or improvements you have in mind, please join our discussions in this repo and on our [Discord channel](https://discord.gg/pAbnFJrkgZ). We look forward to seeing how you and the rest of the community can use and improve teachable agents in AutoGen!
diff --git a/website/blog/2023-11-13-OAI-assistants/index.mdx b/website/blog/2023-11-13-OAI-assistants/index.mdx
@@ -21,7 +21,7 @@ Checkout example notebooks for reference:
 Earlier last week, OpenAI introduced [GPTs](https://openai.com/blog/introducing-gpts), giving users ability to create custom ChatGPTs tailored for them.
 *But what if these individual GPTs could collaborate to do even more?*
 Fortunately, because of AutoGen, this is now a reality!
-AutoGen has been pioneering agents and supporting [multi-agent workflows](https://aka.ms/autogen-pdf) since earlier this year, and now (starting with version 0.2.0b5) we are introducing compatibility with the [Assistant API](https://openai.com/blog/introducing-gpts), which is currently in beta preview.
+AutoGen has been pioneering agents and supporting [multi-agent workflows](https://openreview.net/pdf?id=BAakY1hNKS) since earlier this year, and now (starting with version 0.2.0b5) we are introducing compatibility with the [Assistant API](https://openai.com/blog/introducing-gpts), which is currently in beta preview.
 
 To accomplish this, we've added a new (experimental) agent called the `GPTAssistantAgent` that
 lets you seamlessly add these new OpenAI assistants into AutoGen-based multi-agent workflows.

diff --git a/website/blog/2023-11-20-AgentEval/index.mdx b/website/blog/2023-11-20-AgentEval/index.mdx
@@ -14,7 +14,7 @@ tags: [LLM, GPT, evaluation, task utility]
 **TL;DR:**
 * As a developer of an LLM-powered application, how can you assess the utility it brings to end users while helping them with their tasks?
 * To shed light on the question above, we introduce `AgentEval` — the first version of the framework to assess the utility of any LLM-powered application crafted to assist users in specific tasks.  AgentEval aims to simplify the evaluation process by automatically proposing a set of criteria tailored to the unique purpose of your application. This allows for a comprehensive assessment, quantifying the utility of your application against the suggested criteria.
-* We demonstrate how `AgentEval` work using [math problems dataset](https://ag2ai.github.io/ag2/blog/2023/06/28/MathChat) as an example in the [following notebook](https://github.com/ag2ai/ag2/blob/main/notebook/agenteval_cq_math.ipynb). Any feedback would be useful for future development. Please contact us on our [Discord](http://aka.ms/autogen-dc).
+* We demonstrate how `AgentEval` work using [math problems dataset](https://ag2ai.github.io/ag2/blog/2023/06/28/MathChat) as an example in the [following notebook](https://github.com/ag2ai/ag2/blob/main/notebook/agenteval_cq_math.ipynb). Any feedback would be useful for future development. Please contact us on our [Discord](https://discord.gg/pAbnFJrkgZ).
 
 
 ## Introduction
@@ -110,7 +110,7 @@ To mitigate the limitations mentioned above, we are working on VerifierAgent, wh
 ## Summary
 `CriticAgent` and `QuantifierAgent` can be applied to the logs of any type of application, providing you with an in-depth understanding of the utility your solution brings to the user for a given task.
 
-We would love to hear about how AgentEval works for your application. Any feedback would be useful for future development. Please contact us on our [Discord](http://aka.ms/autogen-dc).
+We would love to hear about how AgentEval works for your application. Any feedback would be useful for future development. Please contact us on our [Discord](https://discord.gg/pAbnFJrkgZ).
 
 
 ## Previous Research

diff --git a/website/blog/2023-12-01-AutoGenStudio/index.mdx b/website/blog/2023-12-01-AutoGenStudio/index.mdx
@@ -219,7 +219,7 @@ A: To reset your conversation history, you can delete the `database.sqlite` file
 A: Yes, you can view the generated messages in the debug console of the web UI, providing insights into the agent interactions. Alternatively, you can inspect the `database.sqlite` file for a comprehensive record of messages.
 
 **Q: Where can I find documentation and support for AutoGen Studio?**
-A: We are constantly working to improve AutoGen Studio. For the latest updates, please refer to the [AutoGen Studio Readme](https://github.com/ag2ai/build-with-ag2/blob/main/samples/apps/autogen-studio). For additional support, please open an issue on [GitHub](https://github.com/ag2ai/ag2) or ask questions on [Discord](https://aka.ms/autogen-dc).
+A: We are constantly working to improve AutoGen Studio. For the latest updates, please refer to the [AutoGen Studio Readme](https://github.com/ag2ai/build-with-ag2/blob/main/samples/apps/autogen-studio). For additional support, please open an issue on [GitHub](https://github.com/ag2ai/ag2) or ask questions on [Discord](https://discord.gg/pAbnFJrkgZ).
 
 **Q: Can I use Other Models with AutoGen Studio?**
 Yes. AutoGen standardizes on the openai model api format, and you can use any api server that offers an openai compliant endpoint. In the AutoGen Studio UI, each agent has an `llm_config` field where you can input your model endpoint details including `model name`, `api key`, `base url`, `model type` and `api version`. For Azure OpenAI models, you can find these details in the Azure portal. Note that for Azure OpenAI, the `model name` is the deployment id or engine, and the `model type` is "azure".

diff --git a/website/blog/2024-01-25-AutoGenBench/index.mdx b/website/blog/2024-01-25-AutoGenBench/index.mdx
@@ -145,4 +145,4 @@ For an up to date tracking of our work items on this project, please see [AutoGe
 
 ## Call for Participation
 
-Finally, we want to end this blog post with an open call for contributions. AutoGenBench is still nascent, and has much opportunity for improvement. New benchmarks are constantly being published, and will need to be added. Everyone may have their own distinct set of metrics that they care most about optimizing, and these metrics should be onboarded. To this end, we welcome any and all contributions to this corner of the AutoGen project. If contributing is something that interests you, please see the [contributor’s guide](https://github.com/ag2ai/build-with-ag2/blob/main/samples/tools/autogenbench/CONTRIBUTING.md) and join our [Discord](https://aka.ms/autogen-dc) discussion in the [#autogenbench](https://discord.com/channels/1153072414184452236/1199851779328847902) channel!
+Finally, we want to end this blog post with an open call for contributions. AutoGenBench is still nascent, and has much opportunity for improvement. New benchmarks are constantly being published, and will need to be added. Everyone may have their own distinct set of metrics that they care most about optimizing, and these metrics should be onboarded. To this end, we welcome any and all contributions to this corner of the AutoGen project. If contributing is something that interests you, please see the [contributor’s guide](https://github.com/ag2ai/build-with-ag2/blob/main/samples/tools/autogenbench/CONTRIBUTING.md) and join our [Discord](https://discord.gg/pAbnFJrkgZ) discussion in the [#autogenbench](https://discord.com/channels/1153072414184452236/1199851779328847902) channel!
diff --git a/website/blog/2024-03-03-AutoGen-Update/index.mdx b/website/blog/2024-03-03-AutoGen-Update/index.mdx
@@ -96,8 +96,8 @@ AutoGen is used or contributed by companies, organizations, universities from A
 
 AutoGen has a large and active community of developers, researchers and AI practitioners.
 
-- 22K+ stars on [GitHub](https://aka.ms/autogen-gh), 3K+ forks
-- 14K+ members on [Discord](https://aka.ms/autogen-dc)
+- 22K+ stars on [GitHub](https://github.com/ag2ai/ag2), 3K+ forks
+- 14K+ members on [Discord](https://discord.gg/pAbnFJrkgZ)
 - 100K+ downloads per months
 - 3M+ views on Youtube (400+ community-generated videos)
 - 100+ citations on [Google Scholar](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=IiSNwnAAAAAJ&citation_for_view=IiSNwnAAAAAJ:zCpYd49hD24C)
@@ -184,6 +184,6 @@ Despite all the exciting progress, there are tons of open problems, issues and f
 We need more help to tackle the challenging problems and accelerate the development.
 You're all welcome to join our community and define the future of AI agents together.
 
-_Do you find this update helpful? Would you like to join force? Please join our [Discord](https://aka.ms/autogen-dc) server for discussion._
+_Do you find this update helpful? Would you like to join force? Please join our [Discord](https://discord.gg/pAbnFJrkgZ) server for discussion._
 
 ![contributors](img/contributors.png)
diff --git a/website/docs/Getting-Started.mdx b/website/docs/Getting-Started.mdx
@@ -134,9 +134,9 @@ The figure below shows an example conversation flow with AutoGen.
 - Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat) and [enhanced LLM inference](/docs/Use-Cases/enhanced_inference)
 - Read the [API](/docs/reference/agentchat/conversable_agent/) docs
 - Learn about [research](/docs/Research) around AutoGen
-- Chat on [Discord](https://aka.ms/autogen-dc)
+- Chat on [Discord](https://discord.gg/pAbnFJrkgZ)
 - Follow on [Twitter](https://twitter.com/Chi_Wang_)
-- See our [roadmaps](https://aka.ms/autogen-roadmap)
+- See our [roadmaps](https://github.com/ag2ai/ag2/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
 
 If you like our project, please give it a [star](https://github.com/ag2ai/ag2/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/contributor-guide/contributing).
Original file line number	Diff line number	Diff line change
Expand Up		@@ -394,4 +394,4 @@ The solution is: 8 * 3 + 7 * 5

		## Conclusion

		`Teachability` is still under active research and development. For any problems you find or improvements you have in mind, please join our discussions in this repo and on our [Discord channel](https://aka.ms/autogen-dc). We look forward to seeing how you and the rest of the community can use and improve teachable agents in AutoGen!
		`Teachability` is still under active research and development. For any problems you find or improvements you have in mind, please join our discussions in this repo and on our [Discord channel](https://discord.gg/pAbnFJrkgZ). We look forward to seeing how you and the rest of the community can use and improve teachable agents in AutoGen!
Original file line number	Diff line number	Diff line change
Expand Up		@@ -145,4 +145,4 @@ For an up to date tracking of our work items on this project, please see [AutoGe

		## Call for Participation

		Finally, we want to end this blog post with an open call for contributions. AutoGenBench is still nascent, and has much opportunity for improvement. New benchmarks are constantly being published, and will need to be added. Everyone may have their own distinct set of metrics that they care most about optimizing, and these metrics should be onboarded. To this end, we welcome any and all contributions to this corner of the AutoGen project. If contributing is something that interests you, please see the [contributor’s guide](https://github.com/ag2ai/build-with-ag2/blob/main/samples/tools/autogenbench/CONTRIBUTING.md) and join our [Discord](https://aka.ms/autogen-dc) discussion in the [#autogenbench](https://discord.com/channels/1153072414184452236/1199851779328847902) channel!
		Finally, we want to end this blog post with an open call for contributions. AutoGenBench is still nascent, and has much opportunity for improvement. New benchmarks are constantly being published, and will need to be added. Everyone may have their own distinct set of metrics that they care most about optimizing, and these metrics should be onboarded. To this end, we welcome any and all contributions to this corner of the AutoGen project. If contributing is something that interests you, please see the [contributor’s guide](https://github.com/ag2ai/build-with-ag2/blob/main/samples/tools/autogenbench/CONTRIBUTING.md) and join our [Discord](https://discord.gg/pAbnFJrkgZ) discussion in the [#autogenbench](https://discord.com/channels/1153072414184452236/1199851779328847902) channel!