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Trends, terminology, questions, and more — explore insights that shape tomorrow's AI.
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How Much Do Today’s LLMs Really Know?
AI models grasp only a fraction of human knowledge. Learn why better data drives AI progress and how Innodata is closing the gap.
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Innodata Featured in Forrester’s Report on Synthetic Data
Forrester has recognized Innodata in a report on synthetic data and its use for initiatives like AI model training.
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Why Linguistics is Crucial for AI Model Success
Discover how linguistics guides AI model training by enhancing language understanding, reducing bias, and ensuring cultural relevance.
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How to Manage Risks Associated with Using AI
Learn how to manage the risks associated with using AI and ensure safe, ethical, and compliant systems for your business.
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5 Trends in Gen AI for 2024
Discover the top 5 trends shaping the future of generative AI, from data-driven advancements to ethical AI practices.
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Is AI a Bubble That’s About to Burst? Exploring the Feared AI Crash
Explore whether AI is a bubble ready to burst or a transformative force here to stay. Discover the realities and future of AI development.
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What is Knowledge Distillation in AI?
Discover how knowledge distillation enhances AI efficiency and how it transforms large models into compact, powerful solutions.
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What are Small Language Models (SLMs)?
Small Language Models (SLMs) bring efficient AI to businesses. Learn how they work, their benefits, and when to use them.
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It’s All About the ‘Bayanat’: AI’s Arabic Problem
Discover the complexities of Arabic in AI, from dialect diversity to data scarcity, and learn how to create models that resonate in the Arab world.