AI in action
Stories, trends, and innovations
Text to Action: AI That Gets Things Done
The true power of AI lies not just in its conversational capabilities but in its ability to take action. At Superp.ai, we leverage text to action technology to enable AI to execute tasks directly within business systems. By integrating AI with core processes, organizations can go beyond recommendations and achieve real-time results.
Yes, AI is for you too: your guide to actually using AI in 2025
You’ve probably seen it everywhere – headlines about AI revolutionizing industries, transforming businesses, and reshaping the future. ChatGPT, Claude, Gemini, and countless other AI tools dominate news cycles.
When to apply RAG vs Fine-Tuning: A practical guide
In the rapidly evolving landscape of AI implementation, two approaches have emerged as powerful tools for enhancing Large Language Models (LLMs): Retrieval Augmented Generation (RAG) and Fine-tuning.
Revolutionizing data retrieval: how semantic search transformsinformation access
Imagine sifting through an 80-page annual report from a client, trying to pinpoint where it mentions personnel costs in the second quarter. This scenario might sound familiar if you are dealing with vast amounts of unstructured data.
From hallucination to innovation: how RAG helps organizations build reliable AI applications
LLMs (Large Language Models) offer impressive capabilities but have a fundamental limitation: they are confined to the information in their training data.
Is strict AI regulation the right path for Europe?
Advancements in artificial intelligence are accelerating rapidly. While these new technologies offer tremendous opportunities, they also pose risks, such as concerns about privacy and data security.