In 2022, there were projections predict that we will have exhausted the stock of low-quality language data by 2030 to 2050, high-quality language data before 2026, and vision data by 2030 to 2060.

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

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Advanced AI gave way to Large Language Models, such as Megatron-Turing NLG, capable of executing a huge number of tasks. However, large-scale LLMs come with huge challenges that include high energy ...

In the AI wars, where tech giants have been racing to build ever-larger language models, a surprising new trend is emerging: small is the new big. As progress in large language models (LLMs) shows ...

Small language models, known as SLMs, create intriguing possibilities for business leaders looking to take advantage of artificial intelligence and machine learning. SLMs are miniature versions of the ...

In my previous article, I discussed the role of data management innovation in improving data center efficiency. I concluded with words of caution and optimism regarding the growing use of larger, ...

Artificial intelligence (AI) is well-known for its ability to make data-driven decisions, but there is a lesser-known branch of AI called natural language processing (NLP) that is starting to turn ...

In today’s industrial landscape, the cost of mismanaged data is catastrophic. Siloed systems, fragmented workflows, and outdated infrastructure aren’t just operational nuisances — they’re existential ...