Arthur Xin@arthurxin953

We create an interactive role-playing novel game. You will play the game by entering statements. The assistant played by Claude will respond you information from script. You will find clues and submit your reasoning at last. We are a team dedicated to creating immersive and interactive gaming experiences. Our game aims to offer a rich interactive experience, and we believe that the Claude-100K model API can be a valuable tool in achieving this goal. We plan to use the model API to generate dynamic and engaging text-based interactions and narratives. This includes but is not limited to: Character Interactions: Utilizing the model API, we aim to create non-player characters (NPCs) that can carry out complex and engaging conversations with the player. These interactions will be context-aware and responsive to the player's inputs. The first challenge is that Claude may respond with hallucination. We designed the prompt to weaken the hallucination. The second challenge is how to force Claude not tell the player the truth directly. We know, Claude is a very safe AI. So, it may not tell a lie even in a role-playing game. We designed the information input to make sure Claude won't Reveal the follow-up plot. We will take you more immersive game experience in the future!

The world of investing is complex and overwhelming, especially for those without a finance background. In particular, the prevalence of inaccurate and obsolete data often lead investors to uninformed decisions. While some existing financial AI agents attempt to mitigate this problem, they heavily rely on internet scraping, a method that is not only costly but also prone to inaccuracies and hallucinations "StockSage AI," our smart chatbot, simplifies financial market navigation by providing personalized, real-time advice and data visualizations. Leveraging Google Vertex AI and MongoDB, StockSage offers a cost-effective, accurate alternative to traditional AI tools. The core features of StockSage AI include: 1. Chat Interface: Users can ask personalized queries 2. Data Visualizations: Displays market trends and prices with colorful and intuitive graphics 3. Real-time Analysis: Bot evaluates reliable news data, updated multiple times daily 4. Efficient AI Search: Leverages databases over web scraping for acquiring information, optimizing cost and accuracy The first step in building our solution was to collect and analyze data from reliable sources. We embedded news and price information, then used Google Vertex AI's Text Generation and Text Embedding Services to analyze trends. Next, we used MongoDB as our database to store and retrieve this data. MongoDB's Vector Search feature allowed for efficient data retrieval, preventing AI hallucinations and providing a friendlier interaction model for AI agents. Finally, we used Google Vertex AI's Text Generation Service to handle client requests. When users interact with the chatbot, their request is dispatched to Vertex AI. Vertex AI retrieves the data from our MongoDB database before formulating a response to the user. In a world inundated with information, we hope our project can be a beacon of clarity and reliability to provide users with personalized insights, as they make more informed financial decisions.