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Sovereign AI: What It Is, Why It Matters, and How to Build It

This article explores the key motivations for the increasing awareness and adoption of sovereign AI systems, the underlying infrastructure and design principles, and evolving challenges and opportunities.

By
The deepset Team
How to Build a Semantic Search Engine in Python
Search your large collection of documents in the most effective way using open source tools
AI Fundamentals
The Beginner’s Guide to Text Embeddings & Techniques
Text embeddings represent human language to computers, enabling tasks like semantic search. Here, we introduce sparse and dense vectors in a non-technical way.
AI Fundamentals
When and How to Train Large Language Models
You’ll almost never have to train a language model from scratch
AI Fundamentals
What is a Language Model in AI?
What are they used for? Where can you find them? And what kind of information do they actually store?
AI Fundamentals
How to Evaluate a Question Answering System for NLPs
Introducing the new, simpler way of evaluating extractive QA pipelines in Haystack
AI Best Practices
An NLP Question Answering System for Structured Data
Learn how to use Haystack NLP framework to extract answers from your tabular data.
AI Architecture
Solutions
Automating Information Extraction with Question Answering
How to use Haystack-based semantic question answering systems to extract information from a collection of financial statements.
AI Architecture
What Is Text Vectorization? Everything You Need to Know
A guide to the history and the role of text vectorization in semantic search systems
AI Fundamentals

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