AutoGen Studio: Build Self-Improving AI Agents With No-Code

I've been working on this video for a whole month in order to make the topic of AutoGen Studio as simple as possible. Non programmers that are curious about AI agents were always on my mind when I was making it. I hope you find it useful! Substack: https://www.mayaakim.com/ Medium: https://medium.com/@mayaakim X: https://twitter.com/Maya_Akim Discord: https://discord.gg/GGhr7pyTHD To rent a GPU from Massed Compute (autogen preinstalled) follow the link ⤵️ https://bit.ly/maya-akim Code for 50% discount: MayaAkim Prompts, model performance and skills for this project are here: https://github.com/majacinka/autogen-experiments Links: Chris Amato lesson: https://www.youtube.com/watch?v=Yd6HNZnqjis Satya Nadella: https://www.youtube.com/watch?v=0pLBvgYtv6U AutoGen Studio: https://microsoft.github.io/autogen/blog/2023/12/01/AutoGenStudio Autogen research: https://arxiv.org/pdf/2308.08155.pdf lilian’s blog: https://lilianweng.github.io/posts/2023-06-23-agent/ crewai: https://github.com/joaomdmoura/crewAI Wired article about dating AI agents: https://www.wired.com/story/volar-dating-app-chatbot-screen-matches/ Andrej Karpathy's tweet: https://x.com/karpathy/status/1748043513156272416?s=20 alphaCodium: https://github.com/Codium-ai/AlphaCodium/tree/main?tab=readme-ov-file prompting techniques: https://www.promptingguide.ai/ lessons about multi agents: https://www.youtube.com/watch?v=mGmhOHUoNMY&list=PL86282B88B486B92C Agent description selects next speaker: https://microsoft.github.io/autogen/blog/2023/12/29/AgentDescriptions/ people talking over each other: https://www.youtube.com/watch?v=3EsVPQwcd7U Node editor: https://ide.x-force.ai/ litellm: https://docs.litellm.ai/ litellm how to call any model: https://docs.litellm.ai/docs/simple_proxy litellm mistral: https://docs.litellm.ai/docs/providers/mistral litellm gemini: https://docs.litellm.ai/docs/providers/gemini mistral available models: https://docs.mistral.ai/platform/endpoints/ LM studio: https://lmstudio.ai/ open llm leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard Open Source models that can do function calling: https://huggingface.co/models?other=function+calling&sort=likes function calling: https://cookbook.openai.com/examples/how_to_call_functions_with_chat_models https://platform.openai.com/docs/guides/function-calling function calling datasets: https://huggingface.co/datasets?sort=trending&search=function+calling 3 open source models I tested (with 7B parameters) https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v2 https://huggingface.co/TheBloke/airoboros-mistral2.2-7B-GPTQ https://huggingface.co/rizerphe/CodeLlama-function-calling-6320-7b-Instruct-hf Multi Agent System Research: https://arxiv.org/pdf/2309.07864.pdf Time code: 0:00 - 1:09 - intro 1:10 - 1:53 3 factor formula 1:54 - 6:00 factor 1 & installation 6:00 - 10:02 factor 2 10:03 - 12:24 run models through api 12:25 - 14:05 run models locally 14:06 - 16:51 factor 3 16:52 - 19:39 ARO system 19:40 - 20:39 smart models comparison 20:40 - 26:07 open source models performance 26:08 - 27:05 agent classifications #autogen #autogenstudio #aiagents