Frequently Asked Questions

1. What is ATTAP.ai?

   ATTAP.ai is a platform that hosts a wide array of AI agents called "VIBES," each designed to engage in conversations, answer queries, provide entertainment, or perform tasks in specific domains. Users can interact with existing VIBES or create their own.

2. What are ATTAP Vibes?

   ATTAP VIBES (our grateful appropriation and adoption of Andrej Karpathy 'vibe-coding' recent tweet [1]) are specially trained subsets of the ATTAP LLM's designed to provide useful information and entertainment in specific areas of interest and knowledge to you. Each time you enter a query the ATTAP system determines which vibe would deliver the best response. Working in this way we hope to continue to refine uniquely applicable LLMs designed to respond to your unique interests, wants, needs and desires.

   In addition you can create your own ATTAP VIBE designed by you to be optimally responsive to your interest(s)

3. What can I do on ATTAP.AI?

   You can:

   • Chat and ask questions on countless subjects.
   • Play games and take quizzes.
   • Get news summaries and personalized recommendations.
   • Learn new skills or explore hobbies.
   • Shop, plan diets or wellness routines, or consult an AI psychic.
   • Create, manage, and share your own VIBES.
   • ...and more (Features)

4. How do I try out an ATTAP VIBE?

   Go to the ATTAP VIBES page. Click on any VIBE’s icon or link. Start chatting or using its particular feature.

5. Can I create my own AI assistant (VIBE)?

   Yes! Click "Create Your Own VIBE" on the VIBES page. Follow the prompts to give your VIBE a persona, knowledge base, and behaviors—making it responsive to your interests.

6. How do I get best results from my Vibes?

   Understanding the concept of prompt context is essential for getting optimal responses from large language models (LLMs). Here are some examples of how context can significantly influence the output:

   • Specificity in Queries: A vague prompt like "Tell me about climate" can lead to a broad response. In contrast, specifying "What are the effects of climate change on polar bear populations?" provides the model with a clear scope, enabling it to deliver a focused and informative reply.
   • Using Examples: Instead of asking, "What's the weather like?", providing a context such as "Based on the recent weather in New York City, can you summarize this week's forecast?" helps the model understand that it should generate a response that fits the specific geographical and temporal situation.
   • Defining Roles: When asking for information, specifying the role of the LLM can enhance context. For example, "As a medical expert, what are the side effects of Ibuprofen?" directs the model to provide more authoritative and relevant content, aligning with the expected expertise.
   • Incorporating Prior Information: If a user has previously discussed topics (like family health), a follow-up question like "Based on our earlier discussion about my father’s diabetes, what dietary changes would you recommend?" leverages prior context and enhances the relevance of the response.
   • Framing with Style: Asking for information in a desired format or style can help. For instance, "Write a poem about the beauty of autumn" provides more context about the type of content expected compared to simply asking about autumn.

   For a deeper dive into these techniques, check out the following resources:

   1. What is VIBE Coding?
   2. Understanding prompt engineering
   3. Chain-of-thought prompting guide

7. Is there a way to save or revisit VIBES and chats?

   Yes:

   • "Favorites" lets you quickly access preferred chats.
   • "Bookmarks" helps organize VIBES for later.
   • "History" stores all your previous sessions.

8. How is my data handled by ATTAP.ai?

   ATTAP.AI uses cookies and may collect some data for analytics and to improve user experience. Refer to the Privacy Policy and Terms of Service for full details.

9. Are there any issues that we should be aware of?

   As a result of the incredibly fast rate at which ALL AI and Large Language Models are developing and being accessed by a vastly growing user base, all hosting providers are struggling to keep up. The effect on users is that there are frequent downtimes resulting in slow responses and some failure of responses to users queries. It will be a while until host providers of these models have properly added the requisite hardware to handle these loads and make the general user experience better. This, among many other reasons, is why ATTAP is developing its platform with the goal of providing its users with ATTAP running on our users localized devices. This coming implementation of ATTAP will no longer require any compute processing and/or connections to model hosts outside of the users devices. This will provide every ATTAP user the optimal user experience.

10. Are responses always accurate or safe?

    No, like all LLM-based platforms, sometimes VIBES may display incorrect info or offensive output. Users are encouraged to fact-check and use the platform responsibly.

11. What's unique about ATTAP.AI?

    The platform's modular, user-driven approach: vast VIBES library, user VIBE creation, social and gamified features, and multi-model AI backends—all oriented toward fun, personalization, and discovery.

12. How do I provide feedback or bug reports?

    Yes, feedback is welcome! Use the "Feedback" link in the menu to send us an email.

Back to Top | Back