The AI Adoption Barriers That Make Businesses Hesitate to Implement AI

AI adoption barriers remain a significant challenge for organisations that handle sensitive data or operate in regulated environments. Although businesses recognise the potential of artificial intelligence, many delay implementation because they lack sufficient control over data storage, access, compliance and the underlying AI infrastructure. This article examines why external AI solutions often fail to meet […]

Tilde Releases TildeOpen, a European LLM for European Languages

Tilde has released TildeOpen LLM, an open-source European LLM (large language model) – an artificial intelligence (AI) solution that specialises in generating text in the European languages. The unique LLM, developed by Tilde on behalf of the European Commission, is freely accessible to anyone interested. It enables building, based on TildeOpen, specialised models customised for […]

Human-Level AI Breakthroughs: How Close Are We?

Yann LeCun, one of the pioneers of artificial intelligence (AI) and the chief AI scientist at Meta, said, speaking about human-level AI, that “such a level of AI is not just around the corner. It will take a long time and will require new scientific breakthroughs that we do not yet know about.” However, there […]

Going beyond simple Retrieval-Augmented Generation (RAG)

What is Retrieval-Augmented Generation (RAG)?  Retrieval-Augmented Generation (RAG) has become a powerful method for grounding large language models (LLMs) in content tailored to specific domains. In essence, RAG systems allow users to index a body of documents and ask questions concerning the content of those documents in natural language. The system responds by first retrieving […]

AI Models for Smaller Languages: How Are They Keeping Up?

Since the emergence of statistical language models in the 1980s, the field has undergone a remarkable transformation. Today, the real question is how AI models for smaller languages keep up with this transformation. Over the decades, methodologies for building these AI models have evolved, the volume of processed data has increased, and the models themselves […]

The LLM training data dilemma: Ocean of dirt or drop of gold? 

By Dr. Toms Bergmanis, AI Researcher at Tilde   Building AI systems capable of understanding and generating human language requires vast amounts of LLM training data. This data is the foundation for an LLM’s ability to comprehend and produce human-like language. However, the cliche that not all data is created equal stands true here. So, […]

Specialised AI Agents and the Shift Beyond a Single Superintelligent LLM

There used to be a strong belief and assumption that we need to build one superintelligence, one giant Large Language Model (LLM) capable of answering any question and resolving any problem. However, the scientific community is shifting away from that belief, moving toward an agent-based approach with specialised AI agents, where multiple smaller models are […]