Artificial intelligence tools like ChatGPT, Bard AI, GPT-4, and more have gained massive recognition in the past few months, but one of the top trending topics in the AI market is “AutoGPT.”
AutoGPT allows GPT-4 to develop self-prompting and perform automated tasks without human intervention. Users need to enter the AI description and the goals they wish AutoGPT would achieve, and the tool would generate prompts required to perform the tasks and even run tests on them. AutoGPT is showcasing the new capabilities of AI along with the future of Project development.
In this article, we are going to talk about AutoGPT in detail, along with the next level of AI and the future of project development with AI tools like AutoGPT.
What is AutoGPT?
AutoGPT is an innovative open-source Python application that utilizes the language model GPT-4 to showcase its capabilities in generating and managing business autonomously. AutoGPT can perform a task with few human interventions and create self-prompt.
For example, you can tell AutoGPT your end goal, and it will generate all the essential prompts required to fulfill the task by itself by running on its own. Through AutoGPT, GPT-4 is redefining its capabilities and what AI chatbots and language models can do.
Who made Auto-GPT?
Any specific organization or company does not own Auto-GPT. It was posted on Github on 30th March by Significant Gravitas user. The real identity of this developer is unknown as of now. Initially, the developer developed this tool alone. However, recently his project has been funded by @Nocodeclarity and @TriageAI.
How does AutoGPT work?
AutoGPT works by utilizing language models GPY-4 and GPT-3.5 through API to generate projects by creating self-prompts, conducting critical reviews, and generating prompts through each iteration. AutoGPT can read and write, browse the internet, and evaluate the prompts generated on its own.
All users need to do is provide an AI name of their preference and add a description along with 5 task goals they wish AI to meet. Once you have provided the tasks to AI, AutoGPT will generate self-prompts, create content, and review them until the requested task is completed.
What can AutoGPT do?
Here are some of the things AutoGPT can do for Coding and non-coding:
For Coding
AutoGPT can generate full programs and code snippets for coding jobs with amazing results. AutoGPT can research data, put those data into context and generate reliable scripts and codes by considering programming parameters of needs.
AutoGPT can even perform tests on the generated scripts themselves to ensure the codes are effective. This feature can be extremely helpful for those developers who need to write code precisely and at a faster speed.
For Non-Coding
AutoGPT’s non-coding results are as impressive as its coding result. It can develop detailed research on the topic and gather information to create helpful outputs. AutoGPT is capable of generating various content such as blogs, websites, and posts, performing data analysis, writing reports, and much more.
You can use AutoGPT to write a story with an introduction and a fitting structure, and it will generate a proper story for you. You need to provide a prompt with a proper AI description and goals, and AutoGPT will perform the provided tasks for you.
How to Install and Use Auto GPT
The first step is to visit github.com and look for AutoGPT
The next, step is to install three essential elements required for setting up AutoGPT which are:
- OpenAI API Key which you can create using this link https://platform.openai.com/account/api-keys
- Python 3.8
- Pinecone API Key
Now to set up AutoGPT you need to open Powershell documentation on your device and add a git clone https://github.com/Torantulino/Auto-GPT.git
Then you need to add cd ‘Auto-GPT’
Lastly, you need to enter : pip install -r requirements.txt
Now you need to navigate to your folder and rename the file as “.env.template” to “.env” and open the file
Replace and fill up the keys with your OpenAI API key and PineCone API Key and place those keys in the .env file
In your Powershell, you need to run python script: python scripts/main.py
You can now begin generating your project by entering your prompts
In addition, you will be asked to provide a few permissions before entering your prompts. Users can provide permission to perform multiple prompts at once by writing “y-n” with “n” being the total number of permissions you have allowed.
How can you access Auto-GPT?
By now, you must be curious to try your hands-on Auto-GPT. Unfortunately, it’s not as easy as you think. Auto-GPT is not a fully-developed application that can be accessed directly on the web or by downloading an app. You must have knowledge of Python or atleast know how to access an app using Python programming. Then you will get access to Auto-GPT.
First, before accessing Auto-GPT, ensure your system has all requirements to run the app smoothly. Auto-GPT requirements include:
- Any environment from the ones listed below:
- VSCode + dev container: It has been configured in the .devcontainer folder and is available for direct use
- Docker
- Python 3.10 or later (instructions: for Windows)
- OpenAI API key
- A Memory backend (any one)
- Pinecone
- Milvus
- Redis
- ElevenLabs Key (If you want the AI to speak)
You must also purchase the Open AI API keys to use Auto-GPT.
After gathering the necessary stuff, it’s time to begin the installation process. You can read the installation process by visiting the following page: https://github.com/Significant-Gravitas/Auto-GPT#-installation. Follow the instructions given on this page to start using Auto-GPT on your device successfully.
Why is Auto-GPT trending?
Auto-GPT is a trending topic on the internet since people are running crazy about AI inventions. Earlier, ChatGPT surprised everyone with its incredible features, and now Auto-GPT has far better functionalities. The platform gives a glimpse of how AGI will be, raising curiosity amongst internet users. So, everyone is talking about Auto-GPT on the internet by sharing their thoughts on AI and how far AI will go in the coming years.
Auto-GPT has also surprised everyone on the internet with its ability to perform various tasks with little human supervision. This gives internet users another reason to talk about this latest AI invention.
What is the difference between AI and AGI?
AI refers to the ability of computers to perform tasks that require human intelligence. It is a broad term and comprises various methods and concepts to train machines to perform human tasks.
Contrarily, AGI is part of AI that performs tasks humans usually do. The ultimate goal of AI is to achieve AGI. After completing AGI, machines can perform all the tasks without or with the least human intervention.
The Turing test is used to check if an application is an AGI. Once AGI is achieved, several mind-blowing inventions will take place. As of now, no AGI-based application is available.
In simple terms, AGI is the sub-part of AI. It can be achieved by training machines using machine learning languages and various other techniques.
ChatGPT or Auto-GPT: Which is better?
ChatGPT is a powerful chatbot that has taken the internet by storm. It can perform several text generation tasks but cannot access the internet. Its database is also limited to 2021, so you cannot get updated or the latest news on ChatGPT.
Contrarily, Auto-GPT can access the internet and uses GPT-4. It offers several functionalities that ChatGPT doesn’t provide. For instance, image generation, memory management, etc. Most importantly, Auto-GPT is still in the development phase. So, you can expect more exciting developments in the future.
Talking about how to use both apps, ChatGPT can be accessed easily by its official Chat GPT Website. However, Auto-GPT requires more effort for installation and usage.
So, after comparing all the aspects, ChatGPT is best for those looking for a simpler AI tool that can generate content and is easily accessible. And those looking to explore the advanced version of AI tools should try Auto-GPT.
Auto GPT on Twitter – Opinions and Popular Threads
The reactions towards AutoGPT on Twitter have been quite impressive and users tend to acknowledge the self-promoting feature. Here are some of the opinions and popular threads on AutoGPT:
AutoGPT is taking the internet by storm. Its everywhere.
— Sully (@SullyOmarr) April 10, 2023
They’re basically AI agents that run by itself, and complete tasks for you.
The best part is you can set it up yourself, and have your own 🤖 doing your bidding for you in less 30 minutes.
Heres how: pic.twitter.com/on87Qh8ayY
Ok first up: You will need to know how to run terminal commands. Thats about it.
— Sully (@SullyOmarr) April 10, 2023
Then go and do these things :
– git setup
– download python
– download docker desktop
– Get an OpenAI Api Key
Here are the links: https://t.co/dKpzpMpPLp
ChatGPT was already insane.
— Paul.ai (@itsPaulAi) April 14, 2023
But AutoGPT is making the internet go crazy.
It's an autonomous AI agent that completes tasks for you.
Here's what you need to know: pic.twitter.com/4qq4oo60C0
Auto GPT on Reddit – Opinions and Popular Threads
Users on Reddit have a mixed reaction toward AutoGPT. Here are some of the opinions shared by Reddit users:
One user stated, “I wouldn’t trust it completely. I mean the tools like ChatGPT spit out and get me about 80-90% of the way there but it’s far from away perfect”
Another user stated, “I have utilized this tool AutoGPT a bit over the past few days. It is quite rough around the edges, it is quite tough, although it does contain huge potential. It will get better quickly.”
Another user said, “AutoGPT needs to run in sandboxes before operating it in an enterprise setting. I want to see a tool that can showcase which can change a terraform plan but is an AI that writes down the codes and can debug when there are bugs. I personally think we are 90% there right now.”
GPT-4 goes a little AGI with Auto-GPT
AutoGPT is creating a new trend with its self-promoting feature in generative AI. The language model can now create and execute prompts which can create new prompts based on the initial goals and descriptions delivered by the users.
The method has truly showcased new capabilities when combined with a web search. Its ability to generate code is extremely beneficial to developers. AutoGPT is currently one of the top-rate self-prompting examples right now. As per Github, the Python application designed in AutoGPT helps in developing and managing business ideas along with creating income.
The system contains internet access for data retrieval, integrates with OpenAI language model GPT-4 for content generation, and can store data and develop speech through Elevenlabs API.
The thought behind self-prompting AutoGPT is quite similar to projects such as Baby-AGI or Jarvis, which is HuggingGPT. The language model is in control and utilizes other models, languages, and tools to achieve the asked goal in an automated manner by being as autonomously as possible. This might result in AutoGPT being a massive next step towards AGI, revolutionizing how users work and creating more impact than ChatGPT.
Conclusion
AutoGPT and its capabilities are definitely taking a different turn in the market and might go on to be next-level AI and change the future of Project development by reducing the work for humans and generating prompts to complete a task on its own. The self-prompting feature will create a huge impact in the AI market and will likely gain massive recognition and be utilized on a large scale in the coming future.
