Audio Transcription
Datasets and Services for Training LLM
Image AnnotationLLM Training for a Banking Call Center
Collaboration helped our client to train a neural network achieving 96% accuracy in identifying bank deposit-related queries
Industry and use case:
Data:
Project duration:
Our Challenge:
The client, one of the top 3 Banks in Eastern Europe, managed call center interactions. They aimed to train a neural network to autonomously categorize client requests (related to debit cards, credit, deposits or balance)
Our Solution:
Given the sensitive nature of the data containing personal information, strict adherence to non-disclosure agreements (NDAs) was paramount.
The client stipulated that only individuals under NDA could access the data. Moreover, they sought full visibility into work processes for quality control and operational oversight. Our in-house team of markup specialists executed the project.
Each specialist signed an NDA, ensuring confidentiality. Transparency was ensured through collective communication in group chats, weekly reports from mentors, and constant engagement with technical and legal teams
Outcomes:
The data enabled the client to train a neural network achieving 96% accuracy in identifying bank deposit-related queries.
Post-project assessments indicated a 27% optimization in call center operations
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Stages of work
-
Application
/01Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price -
Free pilot
/02We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics -
Agreement
/03We prepare a contract and all necessary documentation upon the request of your accountants and lawyers -
Workflow customization
/04We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details -
Quality control
/05Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data -
Post-payment
/06You pay for the work after receiving the data in agreed quality and quantity
Timeline
- 24 hoursApplication
- 24 hoursConsultation
- 1 to 3 daysPilot
- 1 to 5 daysConducting a pilot
- 1 day to several yearsCarrying out work on the project
- 1 to 5 daysQuality control
in the established quality and quantity
Why
Training Data
- Quality Assurance:
- Enhanced Data Accuracy
- Consistency in Labels
- Reliable Ground Truth
- Mitigation of Annotation Biases
- Cost and Time Efficiency
- Data Security and Confidentiality:
- GDPR Compliance
- Non-disclosure agreement
- Data Encryption
- Multiple data storage options
- Access Controls and Authentication
- Expert Team:
- 6 years in industry
- 35 top project managers
- 40+ languages
- 100+ countries
- 250k+ assessors
- Flexible and Scalable Solutions:
- 24/7 availability of customer service
- 100% post payment
- $550 minimum check
- Variable Workload
- Customized Solutions