AI use case

Revolutionizing Traditional Chinese NLP

by
Taiwan LLM
Context

Taiwan LLM is a pioneering large language model focused on Traditional Chinese used in Taiwan. Built on Meta Llama 2, it incorporates cultural context and advanced pre-training on comprehensive datasets, enabling it to understand linguistic nuances and cultural references, thus revolutionizing Traditional Chinese language processing in NLP applications.

Results
Results not reported in the source
Region
Asia
Published
March 15, 2024
Agent type
Data Agents
AI provider
Meta
Models/tools
Not disclosed
ICE score
392
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
8
Confidence
7
Ease
7

39

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Hume AI

Artificial Intelligence
Use case
Empathetic voice interactions
Context

Hume AI, a leader in emotionally intelligent AI systems, utilizes Anthropic's Claude to power natural and empathetic voice conversations through their EVI platform. This integration enables Hume's clients in healthcare, customer service, and consumer applications to build trust with users by providing emotionally aware and responsive interactions.

Models/tools
...
1

Decagon

Artificial Intelligence
Use case
Handle complex customer inquiries automatically
Context

Decagon, a company focused on automating customer support, uses OpenAI's suite of GPT models, including GPT-3.5 and GPT-4, to manage large volumes of support inquiries without human intervention. The models are configured for tasks such as query rewriting, complex decision-making, and API request processing, offering scalable, nuanced responses tailored to each customer's needs.

Models/tools

Roboflow

Artificial Intelligence
Data Agents
Quick win
Use case
Automate image segmentation
Context

Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.

Models/tools
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94

companies using

Data Agents

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Use case
Scaling renewable energy asset management
Context

AES uses Claude on Google Cloud’s Vertex AI to automate their safety audit process, employing a multi-agent system to analyze documents, break down tasks, and generate reports. This system processes hundreds of pages, evaluates compliance, and produces detailed audit reports in about an hour.

Models/tools
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2
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Local search visibility
Context

Local Falcon, a platform that helps businesses improve their Google search rankings, utilizes Anthropic's Claude to analyze millions of customer reviews. This enables them to deliver clear, actionable recommendations, enhancing their clients' local search visibility.

Models/tools
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1
Use case
Automate mapping data processing
Context

Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.

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Explore agents

49

solutions powered by

Meta

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Use case
Automate image segmentation
Context

Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.

Models/tools
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2
Use case
Protecting customer privacy in personalized recommendations
Context

Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.

Models/tools
...
1
Use case
Understanding complex codebases
Context

CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.

Models/tools
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1
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28

AI use cases in

Asia

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Use case
Automate mapping data processing
Context

Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.

Models/tools
...
1
Use case
Protecting customer privacy in personalized recommendations
Context

Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.

Models/tools
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1
Use case
Low AI adoption
Context

WRTN uses Claude to power natural, engaging character interactions and creative storytelling for millions of users across Asia. They aggregate AI services across companionship, entertainment, and productivity to make advanced AI technology accessible to everyday users in South Korea and Japan.

Models/tools
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