Unlock the full potential of your model by leveraging precision fine tuning, rigorous evaluations, and ethically sourced data.
Align model behavior: Supervised fine-tuning, whether you're training a model from scratch or enhancing a pre-trained foundation model
Build trust with stakeholders: Develop AI models on a foundation of integrity with data sourced ethically and transparently by Invisible.
Pin-point areas for improvement: rigorous evaluation services with domain-specific metrics and real-world performance assessments
Drive incremental improvements with evaluations, multimodal / multilingual annotation, and reinforced learning from human feedback.
Invisible's team worked within the client's platform to review model conversations from the research team and assess the level of accuracy of the model responses.
Invisible turned a drawn-out manual process into a bespoke 7-step solution to turn DoorDash’s restaurant onboarding process into a scalable, machine-augmented system.
Invisible's team stepped in to review partially completed conversations between different models. We analyzed the search results, reference material, and model responses.
Invisible helped a leading AI developer scale model capabilities in record time by recruiting and mobilizing AI trainers, overcoming their previous challenges.
