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Use case
Personalizing online education
Context

Arivihan, an online learning platform in India, uses Meta’s Llama to generate personalized answers, as well as lectures, for students.

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Use case
Let users chat to multiple LLMs
Context

Quora developed Poe, its own generative AI platform for people to discover and chat with AI-powered bots, including Gemini, Anthropic’s Claude, Meta’s Llama, and Mistral’s Large 2 — many of which are hosted on Google Cloud’s purpose-built AI infrastructure.

Models/tools
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4
Use case
Enhancing artistic creativity with AI
Context

Refik Anadol, an internationally renowned media artist, fine-tunes Meta's open source Llama models to develop 'Large Nature Model', a generative AI system trained on over half a billion nature images.

Models/tools
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1
Use case
Automating content categorization
Context

CopyAI leverages Meta Llama on Lamini’s LLM platform to accelerate content generation for go-to-market efforts. By fine-tuning a high-precision classifier based on Llama, CopyAI automates content categorization for a Fortune 100 client, streamlining processes and driving efficiency.

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Use case
Accelerating intelligent drug discovery
Context

CopyAI leverages Meta Llama on Lamini’s LLM platform to accelerate content generation for go-to-market efforts. By fine-tuning a high-precision classifier based on Llama, CopyAI automates content categorization for a Fortune 100 client.

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Use case
Automating branded content creation
Context

Copy.ai uses Claude for its GTM AI tool which helps with things like creating content in your brand’s voice and gathers statistics to back up and fact-check content claims. They’re also using Lamini LLM (a platform for tuning and deploying LLMs) with Meta’s Llama to automate categorizing content for a Fortune 100 client.

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3
Use case
Automating workplace productivity tasks
Context

Zoom uses Meta's Llama in a federated approach to develop AI Companion, a generative AI assistant integrated into Zoom Workplace and Business Services. AI Companion leverages both open-source and closed-source large language models to provide features like meeting summaries, smart recordings, and next steps at no additional cost for eligible paid plans. This implementation helps users avoid repetitive tasks, enhances collaboration and productivity, and maintains data security and privacy by keeping customer data within Zoom’s secured servers. With over 700,000 accounts using AI Companion and growing adoption, Zoom's AI integration significantly improves user experience and operational efficiency.

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Use case
Supporting maternal health
Context

PROMPTS program leverages Meta Llama and machine learning to support maternal health in Africa by efficiently triaging incoming questions, identifying urgent cases, and providing critical support to expecting mothers in Kenya. Plans to enhance capabilities to reach 1.3 million women across Sub-Saharan Africa.

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Use case
Enhancing student learning access
Context

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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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
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
Streamlining legal document compliance
Context

Clerkbridge, a North Carolina-based startup, uses Meta Llama to anonymize attorney-privileged data and streamline legal document generation. Additionally, Clerkbridge leverages Llama to monitor and track terms of service, privacy policies, costs, and data policies, alerting users to changes and recommending new models and applications based on usage data, thereby enhancing compliance and operational efficiency.

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