April 23, 2024, 9:48 a.m.
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Brief news summary

Microsoft has unveiled its smallest artificial intelligence (AI) model, Phi-3-mini, designed for businesses with limited resources. This compact model can complete tasks such as content creation for social media while using less data, outperforming larger models. Microsoft argues that smaller AI models are ideal for companies with fewer resources as they are built to handle simpler tasks. Phi-3-mini is now available on Microsoft's Azure AI model catalog, Hugging Face's machine learning model platform, and Ollama for running models locally. This release follows a Stanford University report highlighting the challenges faced by small and mid-sized businesses in competing with tech giants in AI development. In collaboration with Cognizant, Microsoft aims to expand the adoption of generative AI solutions by enterprises.

Microsoft has recently unveiled its smallest AI model, Phi-3-mini, specifically designed for businesses with limited resources. This compact model can effectively perform tasks such as content creation for social media, surpassing larger models in terms of performance while using less data, according to a report by Reuters on April 23. Microsoft argues that smaller AI models are better suited for simpler tasks, making them more accessible for companies with fewer resources. They provide an example of how Phi-3 can be utilized by businesses to summarize lengthy documents or extract industry trends from market research reports. The Phi-3-mini is now readily available on Microsoft's cloud service platform Azure's AI model catalog, as well as the machine learning model platform Hugging Face and Ollama, a framework for running models on local machines. This launch follows a recent report by Stanford University, which highlighted the challenges faced by small and mid-sized businesses (SMBs) in keeping up with tech giants like Microsoft-backed OpenAI in developing their own AI models. Nestor Maslej, the editor of the report, emphasized the study's findings on the growing AI gap between large and small companies in a published interview.

He stated that smaller firms lack the necessary resources and talent to compete with the massive investments in AI research and development made by larger corporations. However, Maslej also noted that there are competent open-source models, like Llama 2 and Mistral, which are freely accessible and continually improving. He believes that in a few years, there may be an open, relatively low-parameter model that can match the capabilities of today's GPT-4. In separate news earlier this week, Microsoft partnered with Cognizant to expand the adoption of generative AI (GenAI) solutions by enterprises. The collaboration aims to make Microsoft's GenAI and Copilots available to millions of users, providing them with transformative benefits and unlocking hidden potential, as stated by Cognizant's CEO, Ravi Kumar S, in a news release.


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