appliedai_aidea

At the Forefront of a New Digital Age

We found the practical use case of AI in business strategy, industry analysis, and trend spotting to be something to jump on as a first mover.

The Details

AIdea combines a user friendly interface with the powerful automation of Auto-GPT AI running in a fully closed virtual machine away from the critical components of your home or business computer.

The Dev Work

We leveraged an open-sourced Auto-GPT housed within a Docker container to power the brains of the operation, ultimately populating qualitative descriptions into text files. On the front-end, we developed a Python-based UI which writes user inputs into the virtual machine, guiding its search for a solution to the given problem. A billed OpenAI private key provided to us by AppliedAI allowed us to tap into the cutting-edge technology of Auto-GPT

Ongoing Improvements

The location of the written file from the Auto-GPT results is still not specified in the Docker container
The front-end UI is prepared with read/write code already for the population and extraction of information into the Auto-GPT interface, however interestingly further testing is needed to find the locations of saved files within the virtual machine which lead to dead-ends at this time
The team was limited to the abilities of GPT-3 in powering the self-guiding AI, greatly reducing search speed and complexity of self-reasoning within the Auto-GPT backend AI machine

Accomplishments that We're Proud of

We learned within a 48hr period about the new existence of a self-guiding AI capable of reasoning, critical-thought, and self-guidance across the vastness of data available on the internet to find easily-understandable business solutions. We are particularly proud of setting this up in a safe-environment via a container and that we were able to experience a working search function having the OpenAI key from the AppliedAI team. Thank you!

Our Key Learnings Since Friday

Within a 48hr period we created a navigable front-end experience pointing to the backend power of Auto-GPT and we very quickly learned about the intricacies of Microsoft Virtual Studio, Docker, Git, and Python.

Turning AIdea into a Full-Functioning Application

Improving search speeds and self-reasoning via GPT-4
Securing research grants for a dedicated OpenAI key and API Usage funding
Creating seamless integration of front-end and back-end dev work in a common location on the Docker virtual machine
Researching Auto-GPT code alterations to confine internet search areas, reiterate focus on output speed, and avoid repetitive search loops