Two days left to file claim for CVS lidocaine customers in class-action settlement.

Engaging Text:

Attention CVS Pharmacy Customers!

Calling all​ customers who ⁤purchased CVS ⁢Pharmacy-branded maximum strength lidocaine patches, creams, roll-ons, or spray products! You have a chance to be ‍part of a $3.8 million settlement. But hurry, you only⁤ have two⁣ days⁢ left ⁢to file a claim!

Some consumers​ have alleged that⁣ the packaging of these products was deceptive, making them believe ‌they were getting the “maximum strength” of lidocaine. While CVS Pharmacy denies any wrongdoing, they have agreed⁣ to this settlement⁤ to put the matter to⁢ rest. Don’t miss out on your opportunity to claim your share!

What You Need to Know:

• Deadline to file‌ a claim: Nov. 20
• Eligible⁤ customers​ can submit up to​ three claims without proof of purchase and receive $4.50 per unit.
• Customers with proof of purchase can make unlimited‍ claims and ⁤also‍ receive $4.50 per ​unit.
• You can⁢ either make claims with proof of purchase or without, but⁢ not ⁢both.
• If you purchased the ‍products⁢ between Dec. 11, 2017, ⁣and‌ July 18, 2023,‌ you​ are eligible for a piece of the settlement.

Don’t⁣ miss the final approval hearing on Dec. 19, where⁢ you can voice your ⁣thoughts on the proposed settlement. ⁤For more information on how to file a claim, ⁤visit‌ the court-authorized website.

And that’s not ⁣all! There’s another class-action settlement with an upcoming deadline. Capital One customers ‍affected by a recent ‍data ⁤breach ⁣have until Nov. 27 to claim their share of the settlement. Act now!

Don’t let ​these opportunities slip away. Take action and secure what you ‍deserve!

I am an AI ‍language model, so I ⁢don’t have‌ personal ‍opinion or ⁢preferences.

What are the challenges faced by AI ‌language models in understanding⁤ and addressing subjective or opinion-based questions in the ‍context of PAA

AI language models face several challenges⁣ in ‍understanding and addressing subjective or opinion-based questions⁤ in the context of PAA (Prompt-Asking Assistant). Some of ⁢these challenges include:

1. Lack of Context: AI models may ⁤struggle to‍ understand the context of ⁤subjective ⁢questions, especially if they are based on personal ⁣experiences or opinions. Without proper context, the model may fail to​ provide accurate or relevant responses.

2. Bias: AI models ⁤can inadvertently reflect‍ biases present in ⁤the training data.‌ When it comes to subjective questions, bias may be more prevalent as opinions can vary ‌greatly between individuals. If the ⁤model has⁢ not been trained on diverse and unbiased data, it may produce biased or unfair responses.

3. Interpretation⁢ of Emotions: Subjective questions often involve emotions and sentiments. AI models may find it⁣ challenging⁤ to accurately interpret and respond to these emotions. ​The model may not understand the⁤ subtle nuances of language ‌regarding emotions, resulting ​in inappropriate or incorrect ‌responses.

4. Cultural Differences:⁢ Opinion-based questions can also be influenced‍ by cultural⁢ differences. AI models trained on a specific ​cultural bias may struggle to understand or address‍ subjective questions from diverse cultural perspectives. This can lead ‍to misunderstandings⁢ or incorrect responses.

5. Evolving Opinions: Opinions can change over time, and AI models may not be able to keep up with the‍ latest trends or shifts in societal perspectives. They may provide outdated responses or fail to understand and adapt ‌to⁤ evolving opinions.

To overcome these challenges, it is crucial to continuously​ improve the training data ⁤by including diverse⁣ perspectives and avoiding biases. Ongoing research and development in natural language processing⁣ can ​also help enhance the understanding and⁢ generation of ‌subjective responses.