Generative AI Survey

1.Tell us a bit about yourself! Don't worry, we won't add you to any sales or marketing lists, and won't share your information with anyone.

You can opt-in to schedule a chat with our product team to help us learn how we can improve Label Studio for your needs.(Required.)

Name

Company

Email Address

2.Would you like to chat with the HumanSignal product team about how Label Studio could be improved to meet your needs?

Yes, please contact me to schedule a follow up interview about this survey.

3.How would you describe your organization’s current understanding and utilization of Generative AI?

We have not started to think about our Generative AI strategy, and do not plan to incorporate Generative AI in our strategy in the future.

We have not started to think about our Generative AI strategy, but plan to in the future.

We are in the early stage of understanding our Generative AI strategy but have not yet implemented it.

We have started experimenting with a few Generative AI pilot projects, but have not yet integrated them into our core business processes.

We have a good understanding of Generative AI with existing projects but are looking for ways to optimize and scale our efforts.

We have a deep understanding of Generative AI with highly skilled teams implementing production systems.

4.Compared to Generative AI models, how important are Predictive models to your current workloads?

Predictive Models More Important

Equal Importance

Generative Models More Important

5.Compared to Generative AI models, how important are Predictive models to your future workloads.

Predictive Models More Important

Equal Importance

Generative Models More Important

6.How does Generative AI align with your organization’s strategic goals and objectives, and what are the expected outcomes?

We want to use Generative AI to improve internal team efficiency.

We want to use Generative AI to reduce operating costs.

We want to user Generative AI to speed innovation and give us a competitive edge.

We want to use Generative AI to enhance our customer experience.

We want to use Generative AI to scale up our existing products, models, and services.

We want to use Generative AI to help us with regulatory compliance and risk management.

Other - please describe.

7.How does your organization plan to integrate Generative AI capabilities with existing systems and technologies? Choose all that apply.

We plan to use Generative AI directly in a production environment.

We plan to use Generative AI to automate our data labeling pipeline.

We plan to use Generative AI in our internal knowledge management systems.

Other - please describe.

8.What specific approaches is your organization using, or planning to use, with Large Language Models (LLMs) and Foundation Models?

We plan to get direct results from models through prompt engineering. This can include zero and few-shot learning techniques and in-context learning.

We plan to fine-tune models using a third-party service.

We plan to fine-tune models internally using a third-party model and their retraining API.

We plan to fine-tune models internally using an open-source or internally developed model.

Other - please describe

None of the above

9.What sort of development interfaces are you expecting to use with your Foundation Models?

We plan to use developer-centric interfaces, taking advantage of SDKs and other programming language interfaces.

We plan on using user-centric interfaces, taking advantage of UI-level interactions like web pages and apps.

Other - please describe.

10.What is your strategy for acquiring and using Foundation and Generative models?

We plan to build our own models in-house.

We plan to pay for third-party models.

We plan to use open-source models in-house, as is.

We plan to extend upon open-source models.

We're not sure of our strategy yet, and are considering our options.

Other - please describe.

11.What potential risks are you worried about in adopting Generative and Foundation models?

We are concerned that the model will produce poor-quality results such as hallucinations, misinformation, or harmful speech.

We’re concerned about data security, compliance, and other regulatory risks such as the leaking of personal data.

We’re worried about copyright, data ownership, and other legal issues related to model training.

We’re worried about the deployment and maintenance of models in a production environment.

We’re worried about the complexity of integrating models into our business workflows.

Other - please describe.