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Have your own AI Model
Welcome to the world of artificial intelligence. In this article, we invite you to dive into the realm of generative AI and uncover the benefits of having your very own tailor-made model at your fingertips. As technology continues to advance, the possibilities of AI keep on expanding, and generative models are poised to change—and are already changing—the way we approach problem-solving, creativity, and innovation.
Whether you are a seasoned AI enthusiast or a curious newcomer, this article will provide you with insights and motivation to train your own cutting-edge AI model. So, get ready, and let's explore what awaits you in the dynamic world of generative artificial intelligence.
What is Generative AI?
Generative AI is a subfield of artificial intelligence that focuses on models capable of creating new, original content. These models are designed to understand and mimic patterns, structures, and relationships in data, producing novel outputs such as text, images, music, or even code. One of the most notable examples of this type of AI is OpenAI's ChatGPT.
Today, ChatGPT has been trained on a vast dataset of texts — more than 45 terabytes — the latest of which were created in September 2021. This allows the model to understand language patterns, grammar, facts, and even some reasoning abilities. By training on diverse and extensive data, the model has acquired a remarkable capacity to generate human-like responses and create original text based on the data it was trained on, prompted by user inputs.
How does AI know what content to create?
The ability of artificial intelligence to create content is based on algorithms that predict and output words or phrases using analysis of its training data. When you give it a topic, question, or a few starting words, it uses its knowledge from the text it has learned to come up with relevant and coherent content. The process is similar to how our brain works when we think of what to say or write. The LLM (Large Language Model) searches through its learned knowledge, identifies patterns, and selects the most appropriate words and phrases to create content that matches the input or prompt.
Generative AI models utilize statistical methods to predict the most probable next word in a sentence or phrase. They assign probabilities to words according to their frequency in the training data. For example, if the word "apple" frequently follows the word "green" in the input texts, the AI will assign a higher probability to "apple" when presented with "green."
You can find more information on the principles of AI’s work here.
AI for Your Brand: Untrained vs. Trained Models
The reader is probably already wondering, “I want to use AI for my brand, but ChatGPT has been trained through the end of 2021. It knows little or nothing about my brand. So what do I do?”
This is a valid concern. The key to addressing it is understanding the difference between foundational LLM and a fine-tuned model.
A foundational model has no (or very lmited) prior knowledge of your brand's services, products, or stylistic preferences. This means that it may generate content or suggestions that are not in line with your identity. Because of how LLMs work – see above, by predicting the next best word based on the data it was trained on, it could create false information about your enterprise or produce content with a style that deviates significantly from your established tone and voice. For these reasons,a foundational model isn’t the best fit for businesses looking to maintain a consistent brand experience.
Trained models are what Intentful specializes in. We train AI to know our clients brands and businesses. This allows the model to generate content that mimics your established tone and maintains consistency across your digital platforms.
You can also instruct artificial intelligence to recognize your most successful content – for example, ads with the highest CTR or top-performing copy on Amazon, and so much more. You can continuously update your own model, incorporating more and more information.
Consequently, it will possess knowledge on a scale that no individual could ever retain, providing unmaginable efficiencies.
We believe that in the near future, brands will have their own trained AI models designed to support human creative teams to create more relevant content faster – in brand’s tone of voice and knowing everything about offerings, products, and more. Artificial intelligence will significantly enhance business efficiency, leading to decreased expenses and a direct and indirect profit increase.
Embrace the Future: Boost Efficiency and Cut Costs with Tailored AI Solutions by Intentful
Don't miss the opportunity to tap into the power of AI models customized for your business. At Intentful, we are committed to assisting you in adopting and training your own artificial intelligence, ensuring increased efficiency and cost savings.
We encourage you to reach out and connect with us. By leveraging our cutting-edge technology, you can optimize your content marketing, streamline your processes, and boost your bottom line. Plus, our team of experts is here to guide you every step of the way, ensuring your artificial intelligence model is perfectly attuned to your unique business needs.
Contact us at Intentful today, and let's explore the possibilities together.