At the NDC London 2025 conference, Blazor creator Steve Sanderson showcased the exciting future of .NET app development, focusing on smaller AI models and autonomous agents. He emphasized the potential of agentic AI, which allows systems to perform complex tasks autonomously, making it particularly advantageous for developers in complex environments. Sanderson also pointed out that ...
DeepSeek’s recent success matching larger AI models with fewer resources has sparked important discussions within the AI community. As Max Vermeir from ABBYY notes, the industry’s increasing demand for computing power raises concerns about sustainability. Companies are now looking at smaller language models (SLMs) that offer efficiency and focused results for specific business needs. The ...
DeepSeek’s recent performance breakthrough has challenged the belief that bigger AI models are always better. Max Vermeir from ABBYY emphasizes the need for a shift towards smaller language models, which offer efficiency in tasks like document processing where speed and accuracy are essential. The AI industry is at a crossroads, balancing ambitions for artificial general ...
CIOs are increasingly exploring small language models to address high computing costs and issues like model hallucinations in AI. These smaller models, characterized by fewer parameters than large language models, offer a more efficient option for specific tasks. As businesses seek expertise tailored to their fields, the adoption of small language models is projected to ...
Businesses of all sizes, from local shops to large retailers, are turning to smaller AI models for significant cost savings and efficiency. These compact models can handle tasks like managing inventory and automating customer service with the same accuracy as larger systems but at a lower expense. H2O.ai recently introduced lightweight models that excel in ...
