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Datasets and services for training LLM

for corporate GPT chats
At Training Data, we provide a full cycle of working with data for training, evaluation and testing of LLM models across 12 industries. Our ML engineers, crowd experts and a base of professional AI trainers allow you to bring GPT internal chats to a high level that your customers will talk about

LLM, or the big language model

represents a breakthrough in artificial intelligence that allows machines to understand and generate human-like text. These models are able to understand the context, create coherent responses and perform text tasks within the internal knowledge base of companies based on common algorithms.

Task types

Data preparation

We collect and generate data, clean it, open sets of dates for narrow niches and topics, forming an internal knowledge base, correct operation of LLM

Fine-tuning

We create and evaluate the demonstration of responses, form expectations of responses and dialogues from LMM in the formats adopted in your company

Reward modeling

We compare and evaluate the LLM-generated responses according to the technical instructions, internal rules of use and general ideas about ethics

Reinforcement learning

We write and describe promts to provide LLM with a clearer understanding of the query and the output of a specific result from the knowledge base
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Stages of work

  • Application

    /01
    Leave 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

    /02
    We 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

    /03
    We prepare a contract and all necessary documentation upon the request of your accountants and lawyers
  • Workflow customization

    /04
    We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details
  • Quality control

    /05
    Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data
  • Post-payment

    /06
    You pay for the work after receiving the data in agreed quality and quantity

Timeline

  • 24 hours
    Application
  • 24 hours
    Consultation
  • 1 to 3 days
    Pilot
  • 1 to 5 days
    Conducting a pilot
  • 1 day to several years
    Carrying out work on the project
  • 1 to 5 days
    Quality control
You pay for the work after you have received the data
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
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Tell us about your project!

    Choose interested services:

    Select an option

    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

    • Other (describe below)