Name: Private Data Inference on PLGrid Infrastructure
Start: 2026-06-30T13:00:00+02:00
End: 2026-06-30T15:00:00+02:00
Location: Klaster Innowacji Społeczno-Gospodarczych Zabłocie

Personal details

Welcome to the evaluation survey of the "Private Data Inference on PLGrid Infrastructure" training held on 30th June 2026 at ACC Cyfronet AGH.

Thank you very much for the time that you have spared to give us feedback!

Are you a user of ACC Cyfronet AGH computing resources?**

Yes

Are you a user of EuroHPC JU supercomputers?**

Yes

If not sure, choose "No"

What type of institution are you from?

Academia / R&D&I Institutions

Commercial / company

Commercial / start-up

Public administration / Government / non-profit

Entrepreneur / freelancer

Overall assessment of the training

Please be sincere in your assessment and feedback, so we can improve 🙏

Overall benefit of the training for you*

Knowledge before training

Describe your knowledge about LLMs before the training*

4 - expert, I confidently chose and tune the resources and models to best fit my needs

3 - competent user, I can use LLMs in standard setups

2 - regular user, I've been using LLMs like a "black box"

1 - novice, I just started

0 - never used it

Describe your experience with LLM inference services (i.e. with OpenAI API or PLGrid Forge) before the training*

4 - expert, I confidently tune the inference worflows to best fit my needs

3 - competent user, I can integrate llm inference service into my workflows

2 - regular user, I've been using llm inference services like a "black box"

1 - novice, I just started

0 - never used it

-1 - haven't heard about it

Content

Please be sincere in your assessment and feedback, so we can improve 🙏

Subject was clearly presented*

5 - agree

2 - partially agree

3 - no clear opinion

2 - partially disagree

1 - disagree

Materials (slides, walkthroughs, handouts) were well prepared*

5 - agree

2 - partially agree

3 - no clear opinion

2 - partially disagree

1 - disagree

Demonstrations, examples and hands-ons were useful and illustrative*

5 - agree

2 - partially agree

3 - no clear opinion

2 - partially disagree

1 - disagree

The pace of the training was*

5- way too fast

4 - too fast

3 - just right

2 - too slow

1 - way too slow

The course duration was*

5 - way too short

2 - too short

3 - just right

2 - too long

1 - way too long

Was there a part that was particularly hard for you to follow? Which one?

If you want, please elaborate why that was the case.

Did the training meet your expectation*

5 - exceeded

4 - yes

3 - partially

2 - no

1 - not at all

How can we improve?

What should we improve? Any unnecessary parts? Anything not included that you wish was mentioned? A part not covered well enough?

Organization

Please be sincere in your assessment and feedback, so we can improve 🙏

The event was well organised*

5 - agree

4 - partially agree

3 - no clear opinion

2 - partially disagree

1 - disagree

Training event organization. What should we improve?

before the training: e.g. announcements, registration, access to the infrastructure, mailing communication, etc. or
during the training: e.g. time management, question handling, Slack and Zoom utilization, etc,

Future

Please be sincere in your assessment and feedback, so we can improve 🙏

How likely are you to apply the knowledge and skills you gained from this training in your work or personal projects?*

0 - not likely ... 10 - very likely

How likely are you to recommend this training to others?*

0 - not likely ... 10 - very likely

Your wishes regarding future courses

Let us know about your preferences in related or other HPC training.

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Your answers will be submitted anonymously.

Private Data Inference on PLGrid Infrastructure

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Private Data Inference on PLGrid Infrastructure evaluation survey (Private Data Inference on PLGrid Infrastructure)

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Private Data Inference on PLGrid Infrastructure