data.blog - Facts about Data Science & Artificial Intelligence
EU AI Act Whitepaper
With the entry into force of the AI Act by the European Parliament in August 2024, companies face the challenge of making their AI systems transparent, explainable and comprehensible. This new regulation, similar to the introduction of the...
Using AI Agents to Chat With Your Data
The development of agentic AI is one of the most exciting recent advances in artificial intelligence (AI). It promises to usher in a new era of LLM agents (see our blogs Multiagent Systems: An Introduction, The Future is...
AI Solutions Leveraging Foundation Models
Foundation Models (FMs) are large pre-trained AI models that can adapt to various tasks, simplifying development of AI solutions. The pre-training is self-supervised on very large-scale datasets (such as text, images, audio, time series, etc., or combinations of...
LangChain: Compactly explained
LangChain provides an open-source orchestration framework for building applications such as chatbots, AI agents, question-answering systems, summaries, intelligent search or agents capable of robotic control of the user.
Multi-agent systems: An introduction
Large Language Models (LLMs) have been used as autonomous agents and more recently as multi-agent systems (MAS) that can solve complex problems and simulate the world. MAS are robust, flexible and scalable, which makes them suitable for...
Few-Shot Learning: Compactly explained
Training good models is the foundation for machine learning and AI, and model training often requires large data sets to create models that work well. But sometimes we don't have a lot of data. In fact...
Best practices for robust data governance in data lakes
As key business decisions are now data-driven, organisations are increasingly turning to data lakes to store raw business data. Statistics show the growing need for data lakes, with the market growing from 7.05 billion...
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European AI Act
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