


AutoGPT is so popular that it can complete tasks autonomously without human intervention, with 27,000 stars on GitHub
Recently, a new trend seems to have emerged in the AI world: autonomous artificial intelligence.
This is not groundless. Recently, a research called AutoGPT has begun to come into public view. Tesla’s former AI director Andrej Karpathy, who just returned to OpenAI, also vigorously promoted it and praised it on Twitter: "AutoGPT is the next frontier of prompt engineering."
Not only that, some people claim that ChatGPT is outdated and AutoGPT is a new member of this field.
Once the project was launched, it collected 27K stars in just a few days, which also verified the popularity of the project.
GitHub address: https://github.com/torantulino/auto-gpt
Question Come on, what exactly is AutoGPT? It is an experimental open source application that demonstrates the capabilities of the GPT-4 language model. The program is powered by GPT-4 and can autonomously achieve any goal set by the user.
Specifically, AutoGPT is equivalent to giving a GPT-based model a memory and a body. With it, you can hand over a task to an AI agent, let it autonomously come up with a plan, and then execute the plan. It also features Internet access, long-term and short-term memory management, a GPT-4 instance for text generation, and the use of GPT-3.5 for file storage and summary generation. AutoGPT has many uses and can be used to analyze markets and come up with trading strategies, provide customer service, conduct marketing, and other tasks that require continuous updates.
As netizens said, AutoGPT is causing a storm on the Internet, it is everywhere. Soon, a netizen started experimenting. The user asked AutoGPT to build a website, and AutoGPT succeeded in less than 3 minutes. During this period, AutoGPT used React and Tailwind CSS, all by itself, without human intervention. It seems that programmers really don't need to code anymore.
The user later added that his goal was simple, to create a website using React. The request was: Create a form, add a title "Made with autogpt", and change the background to blue. AutoGPT successfully built the website. The user also said that if more prompts were given to AutoGPT, the performance would be better.
## Source: https://twitter.com/SullyOmarr/status/1644160222733406214
Let’s look at another example. Pretending that you run a shoe company, the order given to AutoGPT is to conduct a market survey on waterproof shoes, and then ask it to name the top 5 companies and report the advantages and disadvantages of the competitors:
First, AutoGPT directly search on Google, and then find the top 5 companies that provide comprehensive evaluation of waterproof shoes. Once relevant links are found, AutoGPT will ask itself some questions, such as "What are the pros and cons of each pair of shoes, what are the pros and cons of each top 5 waterproof shoes, top 5 waterproof shoes for men", etc.
After that, AutoGPT continues to analyze other various websites, combined with Google searches, and updates the query until it is satisfied with the results. During this time, AutoGPT is able to determine which reviews may be biased toward fakeness, so it must verify the reviewer.
During the execution process, AutoGPT even derives its own sub-agent to perform the task of analyzing the website and find a solution to the problem. All work Completely on your own.
The result is that AutoGPT gives a very detailed report on the top 5 waterproof shoe companies. The report contains the advantages and disadvantages of each company, and also gives a concise conclusion. The trip took just 8 minutes and cost 10 cents. There was no optimization at all during this period.
How does AutoGPT, which can complete tasks independently, run? Let's see next.
AutoGPT: Build your own AI assistant in 30 minutes
As an AI agent that has taken the Internet by storm, AutoGPT can be completed in 30 minutes set up. You can have your own AI to help complete tasks and improve work efficiency.
This powerful AI tool is able to perform a variety of tasks autonomously and is characterized by ease of setup and startup. Before you get started, you need to set up Git, install Python, download Docker Desktop, and get an OpenAI API key.
Clone the repository
Start by cloning the AutoGPT repository from GitHub.
Use the following command to navigate to the newly created folder Auto-GPT.
Configuration environment
In the Auto-GPT folder, find .env.template file and insert the OpenAI API key. Then copy the file and rename it to .env.
Install Python package
Run the following command to install the required Python Bag.
Run Docker
Run Docker Desktop without downloading any containers , just make sure the program is activated.
##Run AutoGPT
Set target
Although AutoGPT is a powerful tool, Not perfect. To avoid problems, it's best to start with a simple target, test the output, and adjust the target to your needs, like ResearchGPT above.However, if you want to unlock the full potential of AutoGPT, you need GPT-4 API access. GPT-3.5 may not provide the required depth for agents or responses.
AgentGPT: Deploy autonomous AI agents directly in the browser
Recently, another developer has launched a new exploration attempt on AutoGPT and created aA project that can assemble, configure and deploy autonomous AI agents in the browser - AgentGPT. One of the main contributors to the project is Amazon software engineer Asim Shrestha, who has received 2.2k Stars on GitHub.
- Project homepage: https://agentgpt.reworkd.ai/
- GitHub address: https://github.com/reworkd/AgentGPT
AgentGPT allows you to name your custom AI and let it perform any goal you want to achieve. The custom AI thinks about the task to be accomplished, performs the task, and learns from the results in an attempt to achieve the goal. The following is a demo example: HustleGPT, setting the goal to create a startup with only $100 in funding.
Another example is PaperclipGPT, which sets the goal to create as many paper clips as possible.
However, users also need to enter their OpenAI API key when using this tool. AgentGPT is currently in beta and is working on long-term memory, web browsing, and interaction between websites and users.
We will continue to wait and see how much imagination space GPT has.
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