AI use case

Innovating AI development workflows

by
NinjaTech AI
Context

NinjaTech AI harnesses Meta Llama 3 alongside AWS's Trainium & Inferentia2 chips and PyTorch to develop next-generation AI agents (Ninja LLMs).

Results
Results not reported in the source
Region
Global
Published
August 20, 2024
Agent type
Code Agents
AI provider
Meta
Models/tools
Not disclosed
ICE score
384
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
8
Ease
6

39

AI use cases in

Artificial Intelligence

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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
Explore industries

43

companies using

Code Agents

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Use case
Reducing development costs
Context

StackBlitz integrated Claude 3.5 Sonnet into Bolt, their browser-based development platform, enabling users to create web applications via natural language without coding experience. This integration allowed rapid development and reduced costs by leveraging Claude's zero-shot code generation capabilities alongside WebContainers technology.

Models/tools
...
1
Use case
Building web apps directly in the browser
Context

StackBlitz integrated Claude 3.5 Sonnet into its browser-based development platform, Bolt, enabling users to develop sophisticated web applications with natural language inputs. This allowed both developers and non-developers to go from idea to production in one click, without needing coding experience or virtual machines.

Models/tools
...
1
Use case
Enhancing developer productivity
Context

Tabnine, an AI coding assistant, uses Claude 3.5 Sonnet for code explanations, suggestions, and code generation. Using Claude in Amazon Bedrock, Tabnine assists on common coding tasks like completions, debugging, test generation, refactoring, and code migration.

Models/tools
...
2
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
...
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
...
1
Explore AI providers

129

AI use cases in

Global

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Use case
Support scaling
Context

Intercom, a leading customer service platform, integrated Claude from Anthropic into their AI agent Fin to automatically resolve up to 86% of customer support queries with human-quality, personalized responses in over 45 languages. This implementation reduces response times from 30 minutes to seconds and enables human agents to focus on more complex issues.

Models/tools
...
2
Use case
Accessible study support
Context

StudyFetch built a comprehensive learning platform powered by Claude, providing personalized learning experiences through their AI tutor Spark.E. The platform analyzes lectures, generates study materials, and offers 24/7 tutoring support in over 20 languages, enabling students to master complex subjects with tailored, interactive assistance.

Models/tools
...
2
Use case
Democratizing AI access
Context

BBVA, a global financial institution, widely adopted ChatGPT Enterprise, creating over 2,900 custom GPTs within five months. By integrating ChatGPT into various departments, BBVA empowered its 125,000 employees to develop tailored AI solutions that enhance efficiency, spark creativity, and streamline workflows. This democratized AI access enabled rapid prototyping, reduced project timelines from weeks to hours, and facilitated the sharing of expert knowledge across the organization.

Models/tools
...
2
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