Hey guys, if you're reading this it means one thing:
At Argil we're currently building the next version of our product in which:
If this resonates with you and you wish to learn more about it, please send me an email explaining what Gpt-3 personal assistant do you need and we'll see how we can build it for you :).
Contact me at the following email: email@example.com
In just a year, the economic state of our societies has been completely challenged.
The launch of GPT-3 will be remembered in history as a massive shift in the interaction between:
OpenAI has garnered substantial attention for the capabilities of LLMS.
It showed us that the realm of applicability is wider than we expect, and that it can definitely work in hand with us in our daily tasks.
What is sure is that we can say that:
GPT-3 personal assistant vision was born with OpenAI.
GPT-3 gave people a way to interact with a massive corpus of data in a quasi-instant way.
The shift is massive and completely reshuffled the card of creation:
This vision of gpt-3 personal assistant is based on a massive component:
The ability from people to prompt in a good way.
If we go one step further, GPT-3 solves 2 major Challenges:
GPT doesn’t stress, GPT doesn’t rest, GPT doesn't ask for a rise.
You can use it whenever you want and give it massive workloads, it will deliver.
That's the reasons behind the GPT-3 Personal Assistant vision.
You can now focus on the strategic tasks of your company and delegate many tasks in your daily workflows.
How does GPT-3 personal assistant gives outputs?
The mechanism behind gpt-3 capabilities is based on 2 components:
Most of the time and for not too complex tasks, GPT-3 will comprehend your intent and give you an output you’ll be satisfied with.
As it’s trained on a massive dataset, GPT-3 can help you in all type of tasks:
All the day-to-day micro tasks in which you believe you’re waisting time, GPT-3 can become your Personal Assistant in.
But GPT-3 has it’s flaws and does not always fit the corporate agenda and requirement.
Big companies required tools with more granularity and transparency. Which is not the case of GPT-3. We do not have access to the dataset on which it has been trained.
On top of that GPT-3 is not customisable to the end-users of companies, making it a hard choice for a personalized experience.
Without even mentioning the regulatory framework that will require specific verifications and conformities in regard to the data privacy.
If you didn’t use GPT-3 as a personal assistant yet here’s a list of use-case you should definitely try it for:
While GPT-3 ticks many boxes in the Personal Assistant role, when personal touch and scalability come into play, it fails to provide a convenient experience.
Here’s what would be needed:
For that to happen OpenAI would have to become a product company which I believe is not really their intention. One can understand that just from the strategic move they took with the GPT-plugins.
If they wanted to be the one building on the GPT-3 personal assistant vision, they wouldn’t:
Customization and collaboration on top of chatGPT won’t come from OpenAI but from companies building on top of the foundational model.
Juste like us at Argil:
At Argil we see the next step in the personal assistant vision as being the Anthropomorphising of ChatGPT:
On top of that we deeply believe that the multi-modal approach with skills is a must:
At Argil we’re building a GPT-3 personal assistant on steroids.
If you want to be part of this adventure, join us: here