Does anyone else find Autogen super cool? Integrating it with other models outside of gpt-4 is interesting. I used claude-instant via Bedrock Here's some docs to help you utilize other models: https://github.com/microsoft/autogen/issues/46 https://docs.litellm.ai/docs/proxy_server Once you have the proxy, you can run the litellm models from the command line. Then you just create a config_list as such -> config_list=[{"model": "bedrock/anthropic.claude-instant-v1", "api_base": "http://0.0.0.0:8000", "api_type":"open_ai", "api_key":"NULL"}] and an llm config -> llm_config={ "request_timeout": 600, "seed": 42, "config_list": config_list, "temperature": 0, } Then you can pass that LLM config into the agents and start the Autogen agent escapades! Reference: https://github.com/microsoft/autogen/blob/main/notebook/agentchat_web_info.ipynb Try it out and let us know what you come up with! I'm going to do a bit more testing after work today.

Hi Everyone, We are working on video generation but instead of creating abstract videos, I want to focus on an Individual's video sort of like an instructor. What are some of the fastest models you've worked with for such cases? I would love to know about your take on such models.

Hi everyone, I am trying to have a small look at Autogen. And trying out the examples mentioned in Mathews video ... https://www.youtube.com/watch?v=V2qZ_lgxTzg&list=PLp9pLaqAQbY2vUjGEVgz8yAOdJlyy3AQb&index=1 Problem. Even just trying the first example I get nothing but mistakes. And I am absolutely clueless about how to solve them. In Colab the Autogen script works however. Would be great if someone had 15 minutes for a zoom call or some helpful tips.

Hi all, just starting a list of running GitHub repositories for sharing, for both learning and projects. Feel free to drop any of your go-to's in the comments! https://github.com/josephmisiti/awesome-machine-learning https://github.com/natnew/Awesome-Data-Science https://github.com/donnemartin/data-science-ipython-notebooks https://github.com/trekhleb/homemade-machine-learning https://github.com/kmario23/deep-learning-drizzle https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code https://github.com/Machine-Learning-Tokyo/Interactive_Tools

Here, I have seen some people talk about Grok by Elon Musk. I am a bit confused, because Grok seems to encompass a couple of different things. So this is what I understood. Grok: 1) a Chatbot to be accessed through x.com as a Premium member 2) the API to the LLM behind the chatbot (described here: https://apidog.com/blog/xai-grok-api/) https://developers.x.ai/python-sdk/grok/ (but you need a subscription as well) 3) Grok-1 which is the non-finetuned LLM itself and has been open-sourced -> only interesting for researchers ? https://x.ai/blog/grok-os but too big to host yourself. https://www.youtube.com/watch?v=z4xktPNxn0U It does not work in a lot of non-US countries. My questions: What is it good for? What is the benefit of using it as compared to OpenAI or another open-source LLM model like e.g. Mistral? Any new developments I have missed?