Autonomous AI Agents is the buzzword today, many industries are moving towards such agents for their repetitive tasks. OpenAI, Google, Microsoft and other companies have developed LLMs (Large Language Models) that come with high intelligence and can be used to develop programs that work themself based on the inputs given to it. Such applications are getting popular among the businesses, if you are in the software industry or any other service industry you should learn about these Autonomous AI Agents and understand how its going to affect further jobs.
In this exploratory report I will be introducing you with the latest innovation in the AI field and how today’s Autonomous AI Agents will be useful in the industry. These agents will replace several types of jobs and also create new jobs in the various industries. So, as a professional everyone should understand the import of this technology and skill up for future jobs.
Artificial intelligence is a term which refers to computer capacity to automatically perform activities based on the user input. This computer uses a specially trained AI model that helps in understanding the user input and then enables the computer to take next action. The machine AI model is trained using a very large amount of data. For training machine learning, deep learning and other AI techniques are used.
The AI Agents use very powerful LLMs models that enable computers to think effectively and make their own decisions. This gives autonomous agents more power and operates without human intervention or very less occasional interventions.
Understanding the Artificial Intelligence
Artificial Intelligence or AI is the high level development in the AI/ML field where models are developed to mimic human -like intelligence. Such models are very powerful and trained on the vast amount of data to learn intelligence. These models can be used to generate text, generate video, answer to the user query and so on. Such intelligence can be used to make more powerful applications that can do the work themself without or with less human intervention. These applications are usually called the autonomous agents which are designed to do some specific type of work based on the input it receives from the external environment.
What are Autonomous AI Agents?
The Autonomous AI Agents are the AI enabled program that can independently think and understand the task. Based on the taks it can develop a plan, prioritise the tasks, executes the tasks and finishes the work themself. There is no human intervention or just very small intervention. Such AI Agents are capable of working 24×365 and able to do work with high accuracy. So, such a system can replace humans in repetitive tasks.
Autonomous AI Agents are also designed to learn from the previous results or can be re-trained with the reinforcements learning. This enhances the accuracy of the agent over time.
There are many Autonomous AI Agents in the market including AgentGPT, Baby AGI, Auto-GPT, Agent-LLM, JARVIS / HuggingGPT, Xircuits, ChaosGPT, Micro-GPT, AutoGPT.js, SFighterAI, SuperAGI and many others, which can be used for making intelligent applications that can work without human support. There are many use cases of Autonomous AI Agents including handling of social media accounts, making a daily work list, writing books and doing day to day activities for the general users. The use cases of Autonomous AI Agents are increasing fast and in further we will have many use cases in the industry.
How Autonomous AI Agents Work?
Now we will understand the working of the Automation AI Agents and its necessary to understand the working of such agents. Basic understanding of working of the Agents will help you in choosing the further career. These days more and more companies have started using the Autonomous AI Agents in their business. In the near future, the job industry is bound to shift and everyone should prepare for the future.
If you are a software programmer then you should understand Generative AI well before embarking on the Autonomous AI Agent development. Programmers should understand the working of Autonomous AI Agents and start learning to develop next generation programs using this technology.
The Autonomous AI Agent is essentially a large generative AI model trained with the large data set to gain intelligence. Such trained models are able to think, design, execute and complete the tasks without human intervention or very less human support.
Autonomous AI Agents have the following components that you should understand.
Memory
Memory is used by the autonomous AI agent to save acquired knowledge, which can be saved in RAM or on disk. This acquired knowledge is used in the further task. This operation is similar to human learning where a human remembers his learning.
Learning
Autonomous AI Agents use reinforcement learning to enable models to learn from the outcome of the previous task. This makes autonomous AI Agents more powerful as it can learn while working, which improves the model with time.
Decision Making
Autonomous AI Agents use vast amounts of data, use cases, memory search and selecting the best action for a given task. Automation AI Agents intelligence is good and it can do the jobs fast, but it’s intelligence is not like humans.
Autonomous AI Agents are not going to replace the humans in creative, highly complex and the work where high thinking is required. Such agents will aid humans in doing the things fast in the more correct way.
