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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

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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
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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
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Reward modeling

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