AI case studies in {industry}





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FoondaMate, a study helper for middle & high school students in emerging markets, uses Meta's Llama to power its AI study buddy available on WhatsApp and Messenger. It answers questions on various subjects, adapts to different English levels and uses multi-step guidance. The platform currently has 3 million students across South Africa, Zimbabwe, and Nigeria – and report 30% uplift in university eligibility for their users.
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Torrens University used Microsoft Azure OpenAI to analyze and standardize over 1,200 courses and 60,000 web pages, improving and standardizing all course curriculums on one intuitive platform, MyLearn.
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BYU Pathway Worldwide integrated generative AI into their Copilot Studio support bot, resulting in immediate time savings of over 150 human hours per week.
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Victoria University of Wellington uses Microsoft Copilot Studio's generative AI capabilities to provide students with a 'single pane of glass' experience. The AI pulls from the University's data sources to deliver natural language answers to student queries, simplifying information access and enhancing the student experience. Over 90% of pilot participants reported positive feedback, and 95% said they would use the system again.
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Pepperdine University has students and faculty who speak many languages, and with Gemini in Google Meet, they can benefit from real-time translated captioning and notes.
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Zelma, powered by OpenAI’s GPT models, makes education data accessible to parents, teachers, administrators, and policymakers across the U.S. It integrates standardized test data, giving insights on student performance in ELA and math. Zelma uses function calling to generate visual data displays and provides SQL logic for verification. It also makes all questions public to facilitate learning from others.
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Researchers at UC Berkeley have introduced RAFT (Retrieval-Augmented Fine-Tuning) by leveraging Meta Llama 2 on Azure AI Studio. RAFT enhances domain adaptation in language models by improving their ability to retrieve and integrate relevant information. This novel approach benefits specialized applications by making Meta Llama 2 more versatile and adaptable to various domain-specific tasks.
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Pratham developed 'BaalSakhi', a chatbot powered by Meta's Llama 2 (70B), integrating via WhatsApp to provide personalized, on-demand support for early childhood care and education to parents and caregivers in resource-poor settings. BaalSakhi draws insights from trusted sources like government departments, UNICEF, WHO, and childcare experts, helping users navigate their child's early development journey independently.
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Mathpresso's QANDA platform utilizes Meta's Llama 2 to create MathGPT, a math-specific large language model that enables highly personalized learning experiences. By leveraging open-source models, Mathpresso offers flexible, domain-specific educational products that democratize access to quality education, allowing learners worldwide to receive tailored math support.
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Duolingo uses GPT-4 to enhance its language learning app with two key features: Role Play, an AI conversation partner, and Explain My Answer, which offers grammar explanations for user mistakes. These features, integrated into a new subscription tier called Duolingo Max, provide users with dynamic, contextual conversation practice and improve learning outcomes.
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Khan Academy is using GPT-4 to power Khanmigo, an AI assistant that serves as a virtual tutor for students and a classroom assistant for teachers. The pilot program aims to personalize learning by asking individualized questions to deepen student understanding, and to help teachers quickly tailor lessons and materials for their classrooms.
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