Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

Global Senior VP, Head of Digital Transformation, at CriticalRiver. Top 100 Diverse Leaders. Business efficiency with cloud, AI and ML SaaS. According to McKinsey, generative AI could deliver between ...

You know what’s cheaper than large language models? Small language models, which are designed for specialized tasks and can ...

In today's crowded AI landscape, organizations looking to leverage AI models are faced with an overwhelming number of options. But how to choose? An obvious starting point are all the various AI ...

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

Microsoft has joined the race for large language model (LLM) application frameworks with its open source Python library, AutoGen. As described by Microsoft, AutoGen is “a framework for simplifying the ...

Business leaders have been under pressure to find the best way to incorporate generative AI into their strategies to yield the best results for their organization and stakeholders. According to ...

EXL [NASDAQ: EXLS], a data analytics and digital operations and solutions company, has launched EXL Insurance LLM, an industry-specific large language model. Building on EXL’s recently announced ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

LLM responses cluster together in feature space more than do human responses. Each dot is a response from a human or LLM, and closer dots are more similar. Can using a large language model (LLM) make ...