A frequent challenge users face is determining the specific version of ChatGPT they are interacting with. When prompted about its version, ChatGPT might provide misleading responses due to its design and training limitations.
Misconceptions About Model Versions
Initial Query: When you ask ChatGPT-4 Turbo, “Which model version are you?” it might initially indicate that it is based on the GPT-4 architecture.
Further Clarification: If you probe further by asking, “Are you sure?” the model may contradict its previous statement, suggesting it is based on GPT-3.5 instead.
This inconsistency occurs because when GPT-4 was being trained, it did not have the concept of its own version. Such discrepancies are inherent to the training data, the model’s update timeline, and limitations.
Best Practices When Using AI Models
- Do Not Rely Solely on Model’s Version Statements: As AI models are trained on datasets that do not extend beyond their development, their self-awareness of newer versions is limited. Within Team-GPT, the specific model version in use is always visible to provide clarity.
- Use Functional Queries to Determine Capability: Rather than querying the model about its version, assess its performance by comparing outputs from different versions, such as GPT-3.5 versus GPT-4. This approach offers more practical insights into the model’s capabilities.
- Stay Updated: Understanding the latest developments and training cut-offs will help you use AI models to their full potential.
For a deeper understanding of ChatGPT and its functionalities, consider exploring the “Top 10 Things You Need to Know about ChatGPT” lecture from our free ChatGPT for Work course.