The Purpose of AI: Let’s make it sticky
It’s amazing how far we have come. Looking only 18-24 months back, one can see the huge progress (together with a lot of buzz, admittedly) AI technology has made. And there is a lot more to come. Generative AI brought a fresh air to the technology landscape, revolutionizing not only what can be done, but […]
From building pyramids to managing icebergs: The revolution of LLMs in data science
Data science has come a long way, from the days when projects resembled building monumental pyramids to the current era, where large language models (LLMs) have transformed the landscape, allowing us to manage icebergs instead of erecting titanic structures. In this article, we will explore this situation and how LLMs are redefining the traditional approach […]
Customizing LLMs for Your Unique Needs
In the fast-paced field of Artificial Intelligence (AI), the last year has witnessed an unprecedented surge in the use of Generative AI, particularly through the widespread adoption of Large Language Models (LLMs) for a myriad of tasks. From summarisation or text rewriting functions to more intricate jobs, LLMs have become the go-to solution for various […]
Revolutionize Your Digital Strategy: Mastering Generative AI Model Deployment with Catedra.ai
In an era where digital interaction is king, organizations yet to embrace generative AI in their software or SaaS products stand at a pivotal crossroads. The trend towards more conversational, intelligent user interfaces is not just a passing fad—it’s a transformative shift in how we interact with technology. Imagine software that doesn’t just respond but […]
Designing Conversational Software Interfaces with Generative AI: The Complex Journey from Prompt Engineering to Fine-Tuning
The Limitations of Prompt Engineering in Conversational AI In the rapidly evolving world of conversational AI, the design of effective and efficient interfaces poses a significant challenge. One of the critical components of this process is prompt engineering, a method used to guide generative AI models in producing specific responses. However, when applied to generic […]