ChatGPT is responding in a very strange way, mixing languages in the same response. I ask it in Spanish and it replies in a mixture of Spanish and Ilocano. In English the same thing happens to me, even if I tell it to answer only in English. Some other users reported me the problem too. the answers are wrong, even for simple questions. Does anyone else have the same problem?
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Wow, it’s like the temperature was cranked up to 2, with the word token choice being from the very unlikely.
Have it write some poetry while it is doing that. 
What if you were to continue an older chat or a new chat, is the new behavior persistent for you?
You might check your custom instructions, now “customize ChatGPT”, and if you’ve never taken advantage of that before, you can place an instruction “ChatGPT only responds in high-quality Mexican Spanish language. Spanish language word usage is the only type of response that will be produced.”.
I just asked my friends, they are having the same issue (even in another country)!!
If it is affecting the language-localized alpha version of ChatGPT, with the interface in a different language, you can switch the user interface language under “settings” to English, or even use a browser plug-in such as Firefox’s “Language Switch”. See if that offers improvement or a gateway to different AI models.
I just asked ChatGPT Plus’ GPT-4 - and it seems to generate cohesive text for me. In this case recommending best software deployment practices…
GPT-4 okay here in US
Given your current operational setup and practices for your AI chatbot product, there are several areas of concern, especially from a configuration management perspective that prioritizes reliability, security, and uptime over the speed of agile development. Here are the key areas where your current practices may be falling short, along with improvement plans for each:
1. Direct Deployment to Production
Issue: Deploying directly to production after minimal validation introduces significant risks of introducing bugs, security vulnerabilities, and performance issues that can affect all your users instantaneously.
Improvement Plan:
- Implement a more robust staging environment that mirrors your production environment as closely as possible. Use this for more extensive testing, including integration, performance, and security testing.
- Adopt a phased rollout approach, where new updates are gradually deployed to a small percentage of users before a full rollout, allowing you to monitor for issues and minimize impact.
2. Short Validation Tests
Issue: Short validation tests may not be comprehensive enough to catch complex bugs or security issues, especially for a product with many features and continuous development.
Improvement Plan:
- Develop a more comprehensive testing strategy that includes automated unit tests, integration tests, end-to-end tests, and regression tests to ensure new changes do not break existing functionality.
- Consider implementing continuous integration (CI) processes to automate testing and ensure that code changes are thoroughly validated before they are merged into the main codebase.
3. Outsourced Tech Support with Pregenerated Answers
Issue: Relying on pregenerated form answers for customer support can lead to unsatisfactory user experiences, especially for complex or unique issues that require more nuanced responses.
Improvement Plan:
- Enhance the training of your outsourced tech support team to handle a wider range of customer inquiries more effectively and to escalate complex issues appropriately.
- Implement a feedback loop from tech support to the development team to identify common issues or feature requests, which can inform product improvements and reduce the volume of support requests.
4. Continuous Development Without Adequate Focus on Reliability and Security
Issue: While continuous development is beneficial for rapid feature rollout, it can compromise reliability and security if not managed carefully.
Improvement Plan:
- Prioritize the development of features and updates that enhance security and reliability, such as improved authentication mechanisms, data encryption, and redundancy systems.
- Adopt a security-by-design approach, where security considerations are integrated into the software development lifecycle from the outset.
5. Lack of Configuration Management Best Practices
Issue: Without robust configuration management practices, changes to the system can become unmanageable over time, leading to configuration drift and inconsistencies that can affect system reliability and security.
Improvement Plan:
- Implement configuration management tools and practices to maintain control over system configurations, ensuring that all changes are documented, version-controlled, and reversible.
- Regularly audit and review configurations to ensure compliance with security policies and operational best practices.
6. Potential Lack of Disaster Recovery and Business Continuity Planning
Issue: Direct deployment to production without adequate backup and disaster recovery plans increases the risk of significant downtime and data loss in the event of a failure.
Improvement Plan:
- Develop and implement a comprehensive disaster recovery and business continuity plan, including regular backups, failover mechanisms, and recovery procedures.
- Conduct regular disaster recovery drills to ensure that the team is prepared to respond effectively to various scenarios.
Conclusion
While agile development practices offer flexibility and rapid iteration, they must be balanced with rigorous testing, configuration management, and a focus on security and reliability. By addressing these areas, you can significantly reduce risks and improve the overall quality and resilience of your AI chatbot product.
The problem is not only the language, it is that it is inventing words, if you ask it for fruits it talks about newspapers, and adds information with words that do not exist, it takes out Python codes even if you don’t ask for them, etc.
Please check this too: GPT is giving me really crazy answers Since today issue has been resolved
And This (OpenAi Status):
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I have a database of approximately 50,000 ChatGPT responses across a variety of models and questions. A very small percentage (much less than 1%) are mixed-language. I have seen Japanese, Dutch and others. I suspect that this is a form of hallucination, because often there is nonsense or sensible-but-wrong material embedded in these mixed-language responses.