Here’s why everyone seems to be talking about Auto-GPT and the things it will probably try this ChatGPT can’t do.
When you were amazed by GPT-4’s latest features, prepare to be blown away by Auto-GPT.
Auto-GPT is a tool that permits you to construct autonomous AI agents that may complete tasks for you using GPT-4. It only needs a job and a number of goals to self-produce every prompt obligatory to finish a task.
Some consider Auto-GPT is the primary true glimpse of Artificial General Intelligence (AGI), which is an AI that may do tasks using its own reasoning and intellect as a human would do, while others think this tool could be the subsequent frontier of prompt engineering.
Either way, Auto-GPT is a tool you’ll want to learn! And today we’re going to see its features, easy methods to gain access to it, its limitations, and the way it differs from ChatGPT.
Auto-GPT vs ChatGPT
Auto-GPT is an experimental open-source try to make GPT-4 fully autonomous. Auto-GPT chains together LLM thoughts, to autonomously achieve whatever goal you set.
But what’s the difference between ChatGPT and Auto-GPT?
Well, with Auto-GPT, you may not only do things like generating text but additionally search the web and gather information, interact with files, and more. On top of that, Auto-GPT uses GPT-4 to automate tasks that may have required back-and-forth prompting if you happen to worked with ChatGPT. Which means that Auto-GPT can perform tasks with little human intervention and is capable of self-prompt.
Unlike ChatGPT, Auto-GPT is an open-source Python app that you would be able to install locally in your computer. That said, there are some non-coding alternatives to Auto-GPT that I’ll show you in this text.
How Auto-GPT works and easy methods to get access to it
As mentioned before, you may access Auto-GPT through the Python app.
When you decide to access Auto-GPT through the Python app, you wish first to put in it following this step-by-step tutorial I made after which run it on the terminal using the python -m autogpt command.
To work with Auto-GPT, you’ve got to call your AI, give it a job, and enter as much as 5 goals on your AI.
A substitute for Auto-GPT is AgentGPT, which you may access through your browser. Below is a video that shows how AgentGPT works.
As you may see, you just have to insert a reputation for the agent and a goal. After that, AgentGPT will autonomously work to get the job done. No need to offer it the subsequent prompt.
Cool things you may do with Auto-GPT
To see Auto-GPT in motion, let’s explore some examples shared on Twitter.
Here’s an agent created with Auto-GPT that conducts product research to seek out the perfect headphones in the marketplace and generates a small report.
What the previous agent does under the hood is web scraping. First, it searches for products, extracts the information, after which exports all the information in a txt file.
The instance below is an AI agent designed to autonomously gather and analyze market data after which save the outcomes.
What makes the previous example special is that the agent outsources her tasks to other AI agents. Also, it’s probably using the ElevenLabs API so as to add voices for every agent.
Limitations
One in all the drawbacks of using Auto-GPT is its high cost. Each step Auto-GPT does is a call to the GPT-4 model which spends quickly your GPT-4 tokens. In line with OpenAI, GPT-4 with an 8K context window charges $0.03 per 1,000 tokens for prompts and $0.06 per 1,000 tokens for results.
One other drawback it’s hallucinations. Like every other app powered by GPT-4, Auto-GPT can be susceptible to hallucinations, nonetheless, with ChatGPT you may recalibrate the conversation each time it needs a tweak, but with Auto-GPT things are different because it’s autonomous.
AutoGPT may or might not be the subsequent big thing in AI, but, because the OpenAI founding member Andrej Karpathy said tools like Auto-GPT can be “the subsequent frontier of prompt engineering,” so we should always control this and similar tools.
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