GenAI Data & Models

At Bitext we generate Synthetic Data to verticalize Language Models for Enterprise GenAI, because we believe that Vertical GenAI is critical for success at Enterprise Use Cases

DATA. We produce Synthetic Data, with a focus on Conversational AI, using Bitext proprietary Natural Language Platform.
- Download a full dataset (Bitext-retail-banking-llm-chatbot-training-dataset)
- What type of Synthetic data we generate: Introducing a New Breed of Data to Fine-tune LLMs: Hybrid Datasets
- How do we Compare to GenAI Synthetic text: Any Solutions to the Endless Data Needs of GenAI?

MODELS. We finetune Vertical Models for Enterprise Use in more than 20 pre-built verticals
- Download, test and finetune them (Mistral-7B-Retail-Banking-v1)
- How we simplify Model customization to specific client needs: From General-Purpose LLMs to Verticalized Enterprise Models
- How we control the behavior of Foundation Models: Taming the GPT Beast for Customer Service – CX

DEMOS. Check how these Models work in our Banking Demo. Compare answers from 3 models:
- ChatGPT-3.5 model: base model that provides general answers
- Pre-trained Banking: finetuning ChatGPT-3.5 model for the Banking vertical, using Bitext’s generic Retail Banking synthetic dataset
- Customized Banking: finetuning Pre-trained Banking model for a specific client, using client-specific data, augmented with our synthetic text technology

Currently, we are partners with Databricks and Amazon AWS, providing services that range from data annotation and labelling to verticalized GenAI models. Additionally, we publish our datasets and models publicly on Hugging Face.