Generative AI

Enhance model precision with high-quality, custom datasets through Flexibench’s data curation, generation, annotation,
and evaluation services, empowering the development of advanced generative AI applications.

Supercharge Your Data Pipeline with Flexibench’s
Generative AI Training Data Solutions

Dataset Generation

Utilize prompt engineering with any large language or vision model to broaden training data coverage.

Data Labeling

Tap into human expertise to source, curate, and label high-quality data for machine learning.

DPO & RLHF

Refine model outputs with a scalable platform that incorporates human feedback and expertise.

Quality Control

Domain experts conduct audits and quality control to ensure the accuracy of Generative AI system outputs.

Choosing the Right Model for Generative AI Applications

With numerous models and frequent updates, Indika AI's Flexibench team of solution architects and domain experts
helps identify the best model for your dataset and business needs.

Benchmarking

Establish a baseline and benchmark model outputs to track iterative improvements.

Output Comparison

Evaluate and compare outputs across generative models to select the best fit.

Model Scoring

Score model outputs to ensure relevance for your specific
use case.

Testing & Feedback

Test and quality-check outputs from your chosen large language model with expert feedback.

Generative AI

Supercharge Your Data Pipeline with Flexibench’s Generative AI Training Data Solutions

Choosing the Right Model for Generative AI Applications

Supercharge Your Data Pipeline with Flexibench’s
Generative AI Training Data Solutions