As artificial intelligence models continue to evolve at ever-increasing speed, the demand for training data and the ability to test capabilities grows alongside them. But in a world with equally ...

Getting access to the right data in the right amounts remains a major obstacle for a range of digital endeavors, from developing AI models to testing software applications. If you find yourself short ...

In today’s data-driven world, enterprises face an ever-growing demand for data to fuel their operations, from testing to machine learning and AI. Yet, collecting high-quality, diverse and ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

As more companies invest in generative AI (gen AI) for bespoke use cases and products, proprietary data is becoming increasingly important to training large language models (LLMs). Unlike ChatGPT, ...

COMMISSIONED: As with any emerging technology, implementing generative AI large language models (LLMs) isn’t easy and it’s totally fair to look side-eyed at anyone who suggests otherwise. From issues ...

Microsoft Corp. has developed a small language model that can solve certain math problems better than algorithms several times its size. The company revealed the model, Phi-4, on Thursday. The ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

DUBLIN--(BUSINESS WIRE)--The "Synthetic Data Generation - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering. The global market for Synthetic Data Generation was ...

By blending AI, behavioural insights, and synthetic data, financial institutions can build more resilient, transparent, and empathetic decision frameworks, better serve vulnerable customers, reduce ...