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  1. Setting up LLM providers ¶. You can use AutoGPT with any of the following LLM providers. Each of them comes with its own setup instructions. AutoGPT was originally built on top of OpenAI's GPT-4, but now you can get similar and interesting results using other models/providers too.

  2. Setting up Auto-GPT 📋 Requirements. Choose an environment to run Auto-GPT in (pick one): Docker (opens in a new tab) (recommended) Python 3.10 or later (instructions: for Windows (opens in a new tab)) VSCode + devcontainer (opens in a new tab) 🗝️ Getting an API key

  3. CI & Build Tools: Updated several GitHub Actions and build dependencies, including setup-python, setup-helm, create-pull-request, and others for better CI/CD performance and compatibility. Fixes & Optimizations. Backend Optimization: Refined the RedisEventQueue to use Pub/Sub and optimized FastAPI event handling to prevent blocking (#8387, #8429).

  4. An Autonomous GPT-4 Experiment. Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set.

  5. 20 kwi 2023 · If you don’t want to set up Auto-GPT locally and want an easy-to-use solution to automate and deploy tasks, you can use AgentGPT. It’s built on Auto-GPT, but you can access it directly in a browser. No need to fiddle with the Terminal and commands. Here is how it works.

  6. Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set.

  7. Prerequisites¶. To setup the server, you need to have the following installed: Node.js; Docker; Git; Checking if you have Node.js & NPM installed¶. We use Node.js to run our frontend application.

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