Enterprise LLM Evaluation Survey
Please provide your feedback on your organization's experience with large language models (LLMs) in enterprise use cases. Your insights will help us improve LLM solutions for business applications.
Your Full Name
*
First Name
Last Name
Your Business Email Address
*
example@example.com
Organization Name
*
Your Role/Title
*
What is the primary use case for the LLM in your organization?
*
Please Select
Customer Support Automation
Document Summarization
Content Generation (e.g., marketing, reports)
Data Analysis/Extraction
Internal Knowledge Management
Other
Which LLM platform/provider are you evaluating?
*
Please Select
OpenAI (GPT-4, GPT-3.5, etc.)
Google (Gemini, PaLM, etc.)
Anthropic (Claude)
Cohere
Meta (Llama)
Other
Please rate the LLM's performance in the following areas:
*
Rows
Accuracy
Relevance
Fluency
Security & Privacy
Integration Ease
Support/Documentation
Excellent
1
2
3
4
5
6
Good
7
8
9
10
11
12
Average
13
14
15
16
17
18
Poor
19
20
21
22
23
24
Very Poor
25
26
27
28
29
30
How satisfied are you with the overall LLM experience?
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Not satisfied
1
2
3
4
5
6
7
8
9
Extremely satisfied
10
1 is Not satisfied, 10 is Extremely satisfied
Compared to previous solutions, how does the LLM perform?
*
Much better
Somewhat better
About the same
Somewhat worse
Much worse
What are the main challenges or limitations you have encountered? (Select all that apply)
Hallucinations/Inaccurate Output
Data Privacy Concerns
Cost
Integration Complexity
Lack of Customization
Latency/Slow Responses
Other
Please provide any additional comments, suggestions, or examples of LLM impact in your organization.
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