Скачать или смотреть AutoGen & MemGPT with Local LLM: A Complete Setup Tutorial! 🧠 AMAZING 🤯

🚀 Explore the fusion of AutoGen with MemGPT for local, private data processing! Discover how to integrate these powerful tools on your machine locally. 🔐💻

Code : https://mer.vin/2023/11/memgpt-autoge...

AutoGen Tutorials:    • AutoGen Tutorial  

Text Generation Web UI Tutorial:    • Text Generation Web UI: MIND-BLOWING ...  
AutoGen Basics:    • Amazing! AutoGen Made Easy: A Step-by...  
AutoGen + Text Generation WebUI :    • AutoGen + Text Generation WebUI: Unbe...  
AutoGen + MemGPT :    • MemGPT  + AutoGen 🧠🤖 Unlimited Memory...  
AutoGen + Google Palm API & more! :    • AutoGen + Google's Palm LLM & More! R...  
AutoGen + Ollama :    • Autogen: Ollama integration 🤯 Step by...  


✨ Benefits:
Private data processing locally.
Unlimited agents with MemGPT.
Open-source language model customization.

👇 Timestamps:
0:00 - Intro to AutoGen & MemGPT Integration
0:03 - Setting Up Local Environment
0:14 - Code Walkthrough
0:49 - Creating Virtual Environments & Installing Packages
1:15 - Writing the AutoGen & MemGPT Integration Code
2:01 - Configuring User Proxy & Coder Agents
3:00 - Setting up Text Generation Web UI
3:30 - Downloading & Loading Models
4:02 - API Configuration for Text Generation
5:00 - Debugging & Execution of the Code

AutoGen has revolutionised LLM application development with its multi-agent framework, paving the way for seamless integration with MemGPT locally. 🛠️ Running AutoGen alongside MemGPT offers a sandbox for developers to orchestrate complex workflows, leveraging local LLMs for enhanced performance and reduced latency. 🚀

Embracing local LLMs enables developers to fine-tune the functionality of MemGPT, a system designed to manage its own memory for expansive contexts. 🧠 This setup maximises the potential of LLMs as operating systems, allowing them to remember and evolve through interactions, akin to a human. 🤖

The collaboration between AutoGen and MemGPT ushers in a new era of AI capabilities, where local LLMs can be fine-tuned for specialised tasks, leading to more robust, efficient, and sophisticated AI applications. 🌟 With this integration in experimental stages, developers are encouraged to contribute to the evolving landscape of MemGPT with open models. 🌱

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