AI use case

Deploying proprietary LLMs effectively

by
Lamini
Context

Lamini, an all-in-one LLM platform for enterprises to build open LLMs on proprietary data, uses Mistral-7B as one of the most popular open base models. Lamini enables Fortune 1000 customers across various industries to tune and deploy models in production efficiently, even on AMD GPUs with performance parity to NVIDIA GPUs. Mistral-7B's ease of use and high-quality results help customers move from proof-of-concept to production, deploying proprietary LLMs effectively.

Results
Results not reported in the source
Region
Global
Published
June 1, 2024
Agent type
Data Agents
AI provider
Mistral
Models/tools
Not disclosed
ICE score
448
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
7

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

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
...
2
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
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
...
1
Explore agents

19

solutions powered by

Mistral

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Use case
Unlocking data insights
Context

BigDataCorp, a data analytics and consulting firm from Brazil, uses Mistral AI models hosted on AWS Bedrock to enable client businesses to dive deeper into their data using natural language.

Models/tools
...
1
Use case
Creating customizable AI assistants
Context

HuggingFace introduced HuggingChat and HuggingChat Assistants, platforms that allow users to try out different open-source models and create customized assistants with unique personalities. By default, both platforms are powered by Mistral 8x7B, providing users with powerful, high-quality experiences and contextually relevant responses. Mistral 8x7B is currently the most popular model used on HuggingChat, enhancing user engagement.

Models/tools
...
1
Use case
Optimizing AI application deployment
Context

Cloudflare, a leading content delivery network provider, serves Mistral 7B through their Workers AI platform, allowing users to run AI models on Cloudflare's global network. Mistral offers low latency, high throughput, and impressive performance, generating tokens up to 4x faster than Llama due to Grouped-Query attention. This enhances Cloudflare's AI offerings, enabling developers to build and deploy AI applications more efficiently.

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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