The concept of AI has been around for years, and with each passing day, new advancements are being made. The latest trend in AI development is the creation of AI agents that can perform multiple tasks simultaneously. Unlike traditional chatbots, these agents use natural language models to automate tasks and provide better results. In this article, we will discuss how these AI agents are making life easier and weirder.
What Are AI Agents?
AI agents are self-contained systems that automate tasks using generative AI models such as ChatGPT and GPT-4. They are designed to perform multiple tasks simultaneously and provide better results than traditional chatbots. The agents use large language models to feed their outputs back into themselves, creating semi-autonomous systems with a specific goal.
Compared to traditional chatbots, AI agents have better memory and can connect to the internet to search for information that is not present in their training data. They can perform specialized tasks such as writing code, building websites, and even ordering pizza. While they work well for basic tasks, they are still in the early stages of development and need guidance.
Auto-GPT
Auto-GPT, created by AI developer Toran Bruce Richards, is a parent program that generates AI agents. The program links outputs of the GPT-4 large language model, feeding itself based on its responses so it can iterate and correct itself. The user can give the AI up to five goals to accomplish based on the original description. By default, users have to give it permission to complete each task, though there is the option of letting it go freestyle.
Auto-GPT has been used to order food or book flights online, and even complete simple market research. However, there are concerns that prompt injection techniques could create avenues for bad actors to attack people through external tools like Auto-GPT.
BabyAGI
BabyAGI is another major code repository causing waves in the AI scene. Created by Yohei Nakajima, BabyAGI plans a sequence of tasks at once and then acts on them. After open-sourcing the code, users have been able to connect it with other online tools, allowing more developers to make their own UI for easier access to the BabyAGI agent. However, its capacity for specific tasks beyond making lists is limited.
Camel AI Agent
The Camel AI agent is designed to work alongside another agent, with one acting as the human and guiding its counterpart through tasks. The program acts by creating individual tasks and inputs them into the agent, allowing it to perform tasks such as making a peanut butter and jelly sandwich.
Conclusion
AI agents are the latest trend in AI development, using natural language models to automate tasks and provide better results than traditional chatbots. While they work well for basic tasks, they are still in the early stages of development. These agents have the potential to radically change how we currently think about AI, but they also have the capacity to produce wrong information if not properly guided.
