PH Deck

In the current situation, users looking to interact with large language models must rely on public, cloud-based platforms, which pose *privacy concerns* and sometimes *lack control over local data*. Users also face issues with *latency* and *internet dependency* with these solutions.

Users exploring the capabilities of Large Language Models (LLMs) often face difficulty in coming up with effective prompts to fully leverage these models' potential. This leads to suboptimal usage and experimentation, hindering learning and application in various contexts. The drawbacks include a lack of inspiration, inefficiencies in understanding the full capabilities of LLMs, and an inability to apply these models effectively across different domains.

Users struggle to build and maintain real-time chat functionality at scale due to the lack of purpose-built APIs and infrastructure.

Drawbacks: Limited chat room scalability, absence of typing indicators, message interactions, read receipts, and moderation tools.

Users interested in interacting with language models (LLMs) run into issues with current systems that rely on constant internet connections, are dependent on API calls, entail recurrent costs, and potentially jeopardize user privacy.

Dependent on API calls, entail recurrent costs, potentially jeopardize user privacy

Users need to chat with AI large language models but face issues with privacy, server dependency, and seamless conversations.

Creating engaging and high-quality videos is challenging and time-consuming, often requiring advanced skills in video editing and content creation. The need for specialized knowledge and the time investment are significant barriers for many users.

Businesses struggle with engaging visitors on their websites due to the lack of personalized and localized interaction, leading to a lower conversion rate and customer satisfaction. The lack of personalized and localized interaction is a significant drawback.

Users struggle to interact with AI chatbots due to their lack of personalization and inability to access or utilize users' own content such as documents, notes, or videos, leading to a less personalized and efficient user experience.

Users need to interact with advanced AI models, currently through internet-dependent platforms and devices, which raises concerns about data privacy and security.

The need to rely on internet connectivity and online platforms leads to potential risks such as data breaches and privacy issues.

Users needing to utilize different AI models often have to manage multiple subscriptions and platforms, leading to increased costs and operational complexity. They also face the challenge of accessing cutting-edge AI models for robust digital interactions. The multiple subscriptions and platforms increases costs and complicates operations.