Artificial intelligence (AI) is reshaping industries and daily life, from powering facial recognition to driving autonomous vehicles. While the potential of AI is immense, two key challenges hinder its widespread adoption:
AI accelerators offer a solution to these challenges. Just as you don't need to understand engine mechanics to drive a car, you shouldn't need to be an AI expert to leverage its benefits.
AI accelerators bridge the gap between cutting-edge AI research and real-world business applications, empowering organizations to unlock the full potential of this transformative technology.
This blog explains what AI accelerators actually are, and gives you examples of how you can use them at your organization.
Specifically, there are two kinds of AI accelerators: hardware accelerators and software accelerators. AI hardware accelerators are specifically designed to supercharge AI performance. Think of chip manufacturers like Nvidia and Groq. They both make specialized hardware (like graphics processing units) that enable companies or data centers to run AI models faster and are very energy efficient.
The second type of AI accelerators are software solutions (sometimes called deep learning processors) that enable people and companies to leverage new AI tools to solve problems more quickly and more easily with less technical knowledge of the underlying technology. We will focus on software AI accelerators in this blog.
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Variations of AI? Yeah, hundreds of them.
You're familiar with OpenAI and their ChatGPT breakthrough models. You might even be aware of the models behind ChatGPT (GPT-3.5-turbo, GPT-4, and all its variations). But did you know there are hundreds of open-source Large Language Models (LLMs) out in the big wild internet?
Meta (Facebook's parent company) has one of the better ones. So does a company called Mistral AI. Microsoft, just to further confuse things, has not only their own wrapper around OpenAI's models, but they have other open source models that they've pulled into the Azure umbrella as well.
Using ChatGPT Plus doesn't give you any integrations into external products. You have to copy and paste results and put them into a file or directly into your business system to get the results you want.
And no, copying and pasting anything is not cutting-edge automation.
Models such as ChatGPT are not low code/no code — just the opposite. They are almost exclusively code-based. So if you want to get the best usage and security from them, you have to write to an API.
Fortunately, OpenAI's API has become almost a standard. This means that if I write to OpenAI's API, I can change a simple URL and test/use alternate models.
Also, you know how to use Python, right? That's the preferred language for the AI models these days. Most of them have created libraries to make coding to their models "easier."
You see where this is going. If you want to leverage AI at your organization you need:
Yes, even the ones claiming to be "multi-model" are not good at converting images to text yet.
Because leveraging AI is so difficult, we've packed the latest version of Grooper (which we're calling GrooperAI) with many ways to integrate into LLMs and given you options for your organization. This means you can use Grooper as an AI accelerator to test easily against different models from OpenAI, Microsoft, or open source.
Without writing a single line of code.
Or a single prompt.
You don't have to know anything about (LLMs) or Generative Pre-Trained Transformers (GPTs). You don't need to know prompt engineering. You just need to add your data fields and possibly give them descriptions.
The newest version of Grooper can be set up without extractors preconfigured. For example, when I built a standard invoice processor in Grooper a year ago (using traditional regex extractors and no AI accelerator-ability), it required 12 days of hard work.
Now? Only 20 minutes.
I added fields like:
The power of the latest LLM-based AI took the text from the document and put the values where they needed to go with hardly any other configuration.
That's the power of AI acceleration. We've removed the sharp edges. We're building the prompts in the background. All you have to do is set up your fields, name them, and optionally describe them in plain language.
By leveraging the power of AI, workloads are substantially reduced and sped up through massively parallel accelerators like Grooper.
And this is only one of the new AI-based features in GrooperAI.
But what other benefits do AI accelerators give you or your organization?
The breakthroughs of LLMs and other AI technologies such as computer vision have drastically improved Grooper's ability to extract and analyze data. Additionally, it's easier than ever to set Grooper up for complex extraction tasks.
If you haven't seen Grooper AI acceleration in action, watch our video on GrooperAI, or contact us today: