The report also shows that AI models are getting smaller while maintaining the same performance. As recently as 2022. 540 billion parameters were needed for. A model to achieve 60% accuracy on AI reasoning tests using the MMLU benchmark. This is a set of questions from a variety of disciplines that examine the ability of language models to understand. Reason. And answer questions.
By 2025. models up to 124x smaller can do the same job. This means that advanced AI tools are now available with less processing power and at lower cost. These changes give online entrepreneurs some potential benefits:
Advanced content creation at scale
Thanks to price reductions. mass content creation within content marketing. Including its optimization for search. Is significantly more accessible. More complex tasks can be automated inexpensively without compromising the quality of the outputs.
Advanced AI models can process up. To 1-2 million text fragments – tokens at a time. This allows for better analysis of entire websites to obtain competitor statistics.
Smarter knowledge management
The continuous improvement of job function email list retrieval-augmented generation (RAG). which uses AI models to crawl the web in real time. Allows for strategies to be built that ensure brand authenticity and expertise in AI outputs.
The Stanford HAI report suggests that the performance of AI models is increasingly similar. with small differences between major systems.
Your edge in digital marketing
it is no longer important what the explicit recorded consent is paramount (for non-customers): artificial intelligence you use can do. but how smartly and skillfully you use it in your strategies and when connecting it with your existing SEO tools.
As artificial intelligence gradually becomes commonplace. the difference between successful and unsuccessful marketing teams will be how effectively they manage to use AI capabilities to create brand uniqueness and value.
Until recently, every new project facebook users or preparation of a paid PPC advertising campaign was preceded by careful search engine optimization combined with a thorough keyword analysis. Everyone knew that if they wanted to reach new potential customers and bring them to their website, they had to know what keywords (KW) they were using in their searches.