Large language models – advanced AI systems trained on vast amounts of data to understand and generate human-like text. How exactly do these models carry out such functions?
Category - Article
3 Power-Ups: RAG’s Impact on Large Language Models
In natural language processing, the constant pursuit of more efficient and precise text generation methods persists. Large language models (LLMs) have dazzled us with their prowess in text generation and language...
From Transformers to ChatGPT
Navigating through key technical innovations in the past few years best describes the journey from Transformers to ChatGPT. ChatGPT and similar chatbot experiences are quintessential examples of how the sum of...
How to NOT Build Data Products? – Interview with Sebastian Herold, Senior Principal Engineer at Zalando SE
In this interview, we spokewith Sebastian Herold, Senior Principal Engineer at Zalando SE. For the past 5 years, Sebastian has been driving the evolution of Zalando's data landscape into an efficient, scalable, and...
Addressing Bias in AI Models: Fostering Diversity in the AI Ecosystem
As artificial intelligence becomes increasingly intertwined with our daily lives, it’s essential to prioritize its fairness, accuracy, and inclusivity. The importance of integrating bias into AI models becomes clear...
Decoding AI Adoption: 6 Key Rules to Separate Authentic Innovation from the Hype
AI has become the hottest buzzword of the decade, with ChatGPT the fastest growth in a new product ever. Since then, everyone, from startups to old-line businesses, has rushed to claim they are doing it.
Driving Innovation at the Intersection between Finance and Artificial Intelligence: AI in Banking
The impact of AI in banking cannot be overstated. It's a force that is revolutionizing customer experiences, operational efficiency, and risk management within the industry.
From Data to Value in the Age of Applied and Generative AI: Data Innovation Summit APAC 2024 is only One Week Away!
Excitement is building as the countdown begins: the third edition of the Data Innovation Summit APAC is just one week away! On March 13th in Singapore, the Data Innovation Summit APAC 2024 will kick off, gathering...
Standard NLP or LLMs? How customers’ needs influence our decision-making
Data Science is a wide-ranging field situated at the intersection of Analytics, Statistics, Machine Learning, and Artificial Intelligence. Creation of a valuable product is a gradual process that involves cross-team...
Unveiling COVID-19 Dynamics in Sweden: Large-Scale Data Analysis from COVID Symptom Study – Interview with Hugo Fitipaldi, Lund University
In this interview, we spoke with Hugo Fitipaldi, a postdoctoral fellow at Lund University. HIs expertise lies in applying data science and AI to healthcare. With a PhD in Genetic Epidemiology, Hugo focuses on deriving...