For months, the world has watched and wondered – what’s going on with the top-secret “Strawberry” project at OpenAI?
Well, on September 12th, the world finally got to find out.
OpenAI released two new AI models, ChatGPT o1-preview and o1-mini, similar to their previous release with 4o and 4o-mini. The hype around this model is there for a reason – the Strawberry model represents a fundamental shift in the way this LLM processes information – and is one step closer to “thinking” than its predecessors.
ChatGPT 3 and 4 models were excellent at one thing: predicting what words should come next. It was essentially a very large, high-powered auto-complete. This was wonderful for a wide range of uses, including writing, analysis, and even code. However, it also resulted in hallucinations, misinformation, and systems that were relatively easy to “trick.”
ChatGPT o1, however, has been trained to spend significantly more time “thinking.” This thinking isn’t similar to how humans think, it’s more like an algorithm. The model takes the initial request presented, forms an answer, and then thinks about the answer to decide if it is the best answer; if the answer is complete, and how it can be improved.
The Berry Beginnings of the Strawberry Model
The “strawberry” problem is a well-known, niche issue that was discovered. It was used as an example of how these LLMs are not smart, they are simply programming. Essentially, users discovered that models would typically say that the word “strawberry” contained only two r’s, despite the fact that it’s clearly three. The reason for this had to do with the way the word was tokenized, resulting in the model only reading two of the three. This issue highlighted a broader problem: ensuring precision in language processing, especially with complex or repetitive terms.
To tackle this, OpenAI developed the ChatGPT o1 model, with the goal of refining tokenization and encouraging the model to “think.” That means you no longer need to specify that the model should take its time. It’s already built-in.
How the Strawberry Model Thinks Differently
So, how does this model “think” compared to GPT-4 and GPT-4o? The main difference lies in its architecture and refined training processes. According to OpenAI, these models depend on additional training to refine their process, test out different strategies, and recognize their mistakes.
While GPT-4 was a significant leap in AI capabilities and GPT-4o introduced optimizations for specific tasks, the o1 model takes it even further with:
Enhanced Content: ChatGPTo1 had a goal of improving tokenization, comprehension, and reasoning. This reduces errors and enhances the quality of AI-generated content, making it more reliable. However, this does not mean that they have eliminated hallucinations, but these mistakes may be more cleverly hidden than they were before.
Deeper Contextual Understanding: Using advanced contextual analysis, GPTo1 is better able to grasp the subtleties and complexities of language compared to its predecessors. This leads to more coherent and contextually relevant responses, which is essential for effective AI in marketing.
Increased Efficiency and Speed: Optimized algorithms allow the Strawberry Model to deliver faster processing times without compromising accuracy. For businesses, this means quicker turnaround times for content creation and campaign management, boosting overall productivity.
AI in Marketing: Unlocking New Possibilities
The advancements brought by OpenAI have significant implications for AI in marketing.
- Content Creation: With accurate tokenization, longer processing times, and improved comprehension, AI-generated content is more reliable and engaging.
- SEO Optimization: An improved understanding of language helps in crafting content that is user-friendly and SEO optimized. Correct promoting means you can delve further into each topic, enhancing your digital marketing services by improving search engine rankings and driving organic traffic.
- Personalization: The o1’s deeper contextual understanding allows for highly personalized marketing messages. Personalized content resonates more with your target audience, fostering stronger connections and higher conversion rates.
- Efficiency: Increased speed and efficiency mean your marketing team can scale efforts without a corresponding increase in workload. This maximizes productivity and ROI, allowing businesses to achieve more with less.
Stay Ahead with beMarketing
OpenAI’s new AI model represents a big jump in AI technology, leading to enhanced accuracy, contextual understanding, reasoning, and efficiency. These improvements are particularly beneficial for marketers, allowing businesses to create high-quality, engaging content, optimize their SEO strategies, and personalize their marketing efforts like never before.
At beMarketing, we’re committed to helping you stay on the cutting edge of tech advancements and AI innovations. Our digital marketing services help you leverage OpenAI’s and other models for your marketing. We ensure your strategies align with your company’s ethical policies and the latest advancements, driving your business forward with precision and creativity.
Contact beMarketing today and let us help you stay ahead of the AI revolution.