Draft:GPTConsole
Submission declined on 30 June 2024 by ARandomName123 (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of web content). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Developer(s) | Hari Babu Gadipudi |
---|---|
Initial release | September 15, 2023 |
Written in | Javascript |
Type | AI Agent platform Web platform Autonomous Artificial Intelligence |
Website | https://gptconsole.ai |
GPTConsole is a web platform for building AI agents.[citation needed] These agents work on tasks for long periods instead of just generating text.[citation needed]
Part of a series on |
Multi-agent systems |
---|
Multi-agent simulation |
Agent-oriented programming |
Related |
Background
[edit]On September 13, 2023, GPTConsole was released by Hari babu Gadipudi, developer of GPTConsole.[citation needed]
LLM-generated code is not always executable[1]. Autonomous AI agents primarily depend on LLMs to generate code or make decisions on the next move. If LLM-generated code is not executable or contains a bug, the AI agent may enter an infinite loop, getting stuck in a cycle it cannot escape. One solution is to use pre-tested code (or skills). Instead of asking the LLM to generate code for the next step, the AI agent can ask the LLM to pick a skill to perform the task.
Applications
[edit]Software Development
[edit]In the real world, software developers are hired to complete specific tasks. Similarly, GPTConsole can be used to build AI agents to perform specific tasks[2]. These agents do not rely on LLM-generated code to complete tasks. Instead, they use pre-tested code blocks(or Artificial Skills), the decision-making power of LLMs, and task planning and execution strategies. A few examples include web developer agent who build production-ready ReactJS web applications, frontend developer agent who create landing pages for SaaS, JavaScript developer agent who writes code using p5.js to create art, and Python developer agent who generate music notes. For instance, a web developer agent can build an application but cannot generate art.
Generative
[edit]GPTConsole can be used to build AI agents for tasks that require generating long-form content. These agents can be employed to write books, movie screenplays, and research papers, handling the creation of extensive and coherent text.
Automation
[edit]GPTConsole can be used to build AI agents for automating entire business processes. AI agents can manage marketing campaigns, sales processes, customer support, product development, product research, investment research, and content creation from start to finish.
References
[edit]- ^ Valenzuela, Andrea. "Why LLMs are not Good for Coding". Towardsdatascience. Retrieved February 28, 2024.
- ^ Razzaq, Asif. "A Paradigm Shift in Software Development: GPTConsole Artificial Intelligence AI Agents Open New Horizons". marktechpost. Retrieved October 10, 2023.