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Use case
Simplifying AI application development
Context

Retool uses GPT-4 to help businesses quickly build AI-powered applications for various business processes, such as inventory management, customer support, and custom product experiences. The platform provides pre-built AI actions like generating text and chatbots, making it easier for companies to integrate AI with secure data access and promote efficiency.

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Use case
Providing personalized product recommendations
Context

HP uses Microsoft Copilot Studio to provide personalized product recommendations on its website. Small business customers can use natural language to find the best products for their needs, reducing the number of clicks compared to traditional methods. This enhances the user experience and builds trust by offering real-time responses using Generative AI.

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Use case
Enhancing customer engagement with AI concierge
Context

Holland America Line, in partnership with Acuvate, uses Microsoft Copilot Studio's generative AI to power an online concierge. This AI-driven solution assists customers throughout the booking journey, handling inquiries about room options, packages, and entry requirements. Acuvate's involvement ensures seamless integration and optimization, improving customer engagement and satisfaction while driving revenue growth.

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Use case
Improving employee support with AI copilot
Context

PayPal uses Copilot Studio to build an employee-facing copilot that can reason over multiple knowledge sources, providing consistent and relevant answers. This implementation has reduced the workload and costs of the support team while increasing employee engagement and loyalty.

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Use case
Enhancing DevSecOps with AI features
Context

GitLab uses Claude to power AI-driven features across their DevSecOps platform. These include generative code generation, chat, and summarization tools. By integrating Claude, GitLab accelerates development while maintaining security and stability, ensuring privacy-first AI solutions across the software lifecycle.

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Use case
Boosting team productivity with AI collaboration tools
Context

WebFX, a global digital marketing company, adopts Duet AI for Google Workspace to enhance collaboration, innovation, and idea generation. Employees use AI-powered features like "Help me write" and "Shorten" in Docs and Gmail to draft emails and documents faster, brainstorm ideas, and streamline project planning. This integration accelerates productivity, supports creative and strategic pursuits, and allows teams to focus on higher-impact tasks, enabling better client outcomes.

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Use case
Improving project clarity with AI insights
Context

Asana uses Claude 2.1's 200K token context window to power Asana Intelligence, enabling faster status updates and better insights for their customers, driving clarity and impact at scale. This helps organizations process large volumes of data with precision and transparency.

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Use case
Simplifying complex work with large context AI
Context

SAP is evaluating Anthropic's Claude 2.1 with a 200K token context window for tasks like document processing, sophisticated dialogue, creative content generation, and complex reasoning. These efforts aim to simplify day-to-day work for employees and enhance both internal operations and customer solutions.

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Use case
Delivering personalized health coaching
Context

WHOOP integrates GPT-4 into its wearable device companion app to offer personalized, 24/7 fitness and health coaching. WHOOP Coach analyzes users' unique health data and provides conversational, actionable recommendations based on their goals, such as improving sleep or training for a marathon, revolutionizing how users engage with their health data.

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Use case
Unifying data for real-time AI applications
Context

MongoDB extends Mistral's performance and efficiency from the model layer to the data layer by securely unifying application data, metadata, and vector embeddings in a single platform. Developers can create rich, real-time AI applications across various use cases, from conversational AI to complex reasoning, gaining a competitive edge by building with Mistral AI and MongoDB.

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Use case
Automating product onboarding for marketplaces
Context

Mirakl, the world leader in SaaS marketplace management, integrated Mistral's models into their "Catalog Transformer" to automate product onboarding for sellers. Handling around 10 million new products monthly, this improved operational efficiency and maximized catalog performance, ensuring an optimal user experience.

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Use case
Benchmarking performance of LLMs
Context

ML Commons has integrated Meta's Llama 2 70B parameter model into version 4.0 of its MLPerf Inference benchmark. The published results demonstrate the performance potential of various platforms for running one of the most demanding and capable large language models, highlighting the efficiency and scalability of Meta’s Llama 2 in high-performance computing environments.

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Use case
Generating emotion-informed marketing messages
Context

Persado's Motivation AI platform utilizes Meta's Llama models, fine-tuned with proprietary data, to generate emotion-informed marketing messages that are 96% more effective in driving action. The models produce effective and on-brand multilingual marketing communications, enhancing marketing effectiveness and customer engagement.

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Use case
Streamlining wholesale credit document review
Context

KPMG leveraged Meta's Llama to help the wholesale credit team at a major U.S. bank explore secure, open-source LLMs, enabling the client to review and interrogate complex loan applications more quickly and efficiently. This tailored GenAI solution improves the speed and accuracy of document review and processing, enhancing automation to the next level.

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Use case
Advancing data analytics capabilities
Context

Superinsight, a data analytics company, integrated Mistral AI on AWS Bedrock to enhance its data analytics capabilities. This provides clients with powerful tools to unlock the full potential of their data, delivering cutting-edge AI capabilities.

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Use case
Leading open innovation in AI
Context

Upstage fine-tuned Meta's Llama 2 to create Solar 70B, a large language model that secured the top position on the Open LLM Leaderboard upon its debut, showcasing the potential of open innovation in AI.

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Use case
Automating harmful content redaction
Context

Netsafe, a nonprofit organization, uses Meta Llama models to develop a robust redaction tool for harmful digital communications. The tool employs a tuned LLM and the AI4Privacy dataset to automatically redact sensitive information, facilitating faster and more effective harm resolution. Netsafe's data pipeline, built on Dagster, Postgres, and BigQuery, sources, redacts, and aggregates data from various channels, reducing victim impact and augmenting the skills of Digital Harm Resolution Officers.

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Use case
Transforming sermons into multi-channel content
Context

Pulpit AI uses Claude to help pastors transform sermons into over 20 pieces of content, including devotionals, social media posts, and videos. This integration led to an 80% reduction in operational costs and a 200% increase in customer base within three months. Claude's ability to parse theological ideas and generate human-like content has significantly expanded pastors' reach and engagement with their congregations.

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Use case
Personalizing math education
Context

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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Use case
Customizing user support and fraud detection
Context

Stripe uses GPT-4 to enhance user support by customizing responses based on detailed understanding of how businesses use the platform. It also helps improve documentation support by answering user queries and summarizing technical documents. Additionally, GPT-4 aids in fraud detection by analyzing community interactions and flagging suspicious behavior.

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Use case
Streamlining financial advisor knowledge access
Context

Morgan Stanley uses GPT-4 to power an internal-facing chatbot that helps wealth management advisors quickly search and retrieve insights from a vast internal knowledge base. The AI assists in organizing and synthesizing hundreds of thousands of pages of investment strategies, market research, and analyst insights, drastically improving the efficiency of financial advisors. Over 200 employees use it daily, transforming how advisors access and use company knowledge.

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Use case
Improving language learning outcomes
Context

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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Use case
Personalizing learning with virtual tutors
Context

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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